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Students Debate Social Media's Impact on Teens, Ed Policies, and Cultural Traditions

Timelines
Opinion deadline:
Completion deadline:
Launch deadline:
Info
Instructor:
[Redacted]
Min. chat time:
20 minutes
Created on:
Chat threads:
19 (18 disagree · 1 trio)
Topics
Cancel Culture
Cancel culture is harmful to free speech.

Cell Phones at School
Cell phones are a distraction, not a learning tool, in classrooms.

College
College is not necessary for success in today's world.

Drinking Age
The drinking age should be lowered to 18.

E-Sports
E-sports deserve the same recognition as traditional sports.

School Dress Codes
School dress codes unfairly target certain groups of students.

School Traditions
Prom and other school traditions are overrated.

Social Media
Social media does more harm than good for teenagers.

Sports vs. Academics
Participation in sports is just as important as academic achievement.

Teachers
Students should be allowed to grade teachers.
At a Glance

Your 39 students rated ten statements and produced sixteen conversations, with about a third of them on whether social media does more harm than good for teenagers and the rest spread across school policy, sports, e-sports, the drinking age, and cancel culture. The recurring fault line was personal responsibility versus structural design: one partner argued outcomes depend on how you use a tool or read a rule, the other that platform incentives and enforcement patterns shape behavior regardless of intent. No statement showed a statistically notable shift in ratings after discussing, but movement happened inside the threads, where pairs converged on conditional positions such as 'harm depends on use, supervision, and age' and 'students should grade teachers, with guardrails.' The single most useful thing to know is that the discussions got sharply better whenever students were pushed to define their terms: 'harmful' versus merely unpopular, 'equal importance,' and 'sport' turned out to be the real subjects of debate. The statements with substantial numbers on both sides sustained genuine opposition; the college statement was rated 62/38 but never surfaced in a conversation.

Strongest learning moment
A student defending social media described TikTok content that reinforced a personal insecurity, and once the mismatch between the anecdote and the stated position was named, they revised their view. The parallel moment in the sports threads came when one student's scheduling-conflict triage forced their partner to concede that 'equal importance' cannot mean equal time.
Still unresolved
Whether social media creates new harms or only amplifies old ones never resolved, with each side restating the mechanism it found convincing on personal experience alone. Cancel culture stalled at a real design problem: the group agreed no current system fairly separates harmful from controversial speech, then split on whether that makes it mob rule or accountability.
Worth knowing
Two misconceptions spread widely and are worth naming in class: unnamed 'research' and unsourced statistics treated as settled evidence, and platform moderation tools offered as an answer to comparison and self-image harms that break no community guideline. Students defending the tools never addressed that gap.
Social media drew six substantive conversations despite 72% pre-chat agreement
No statement showed a statistically notable shift after discussing
College split 62/38 but never appeared in a conversation
Written Feedback
Selected optional written feedback responses from students.
Opinion Distribution
Cancel Culture
Cancel culture is harmful to free speech.
15
10
5
0
-3
-2
-1
0
1
2
3
Mean: 0.77 (95% confidence interval: 0.35 to 1.19)
Cell Phones at School
Cell phones are a distraction, not a learning tool, in classrooms.
15
10
5
0
-3
-2
-1
0
1
2
3
Mean: -0.72 (95% confidence interval: -1.25 to -0.18)
College
College is not necessary for success in today's world.
15
10
5
0
-3
-2
-1
0
1
2
3
Mean: 0.59 (95% confidence interval: -0.00 to 1.18)
Drinking Age
The drinking age should be lowered to 18.
10
5
0
-3
-2
-1
0
1
2
3
Mean: 0.13 (95% confidence interval: -0.54 to 0.79)
E-Sports
E-sports deserve the same recognition as traditional sports.
15
10
5
0
-3
-2
-1
0
1
2
3
Mean: -1.41 (95% confidence interval: -1.93 to -0.89)
School Dress Codes
School dress codes unfairly target certain groups of students.
15
10
5
0
-3
-2
-1
0
1
2
3
Mean: -0.08 (95% confidence interval: -0.69 to 0.54)
School Traditions
Prom and other school traditions are overrated.
15
10
5
0
-3
-2
-1
0
1
2
3
Mean: -0.72 (95% confidence interval: -1.34 to -0.10)
Social Media
Social media does more harm than good for teenagers.
20
15
10
5
0
-3
-2
-1
0
1
2
3
Mean: 0.49 (95% confidence interval: -0.02 to 1.00)
Sports vs. Academics
Participation in sports is just as important as academic achievement.
15
10
5
0
-3
-2
-1
0
1
2
3
Mean: 1.05 (95% confidence interval: 0.46 to 1.64)
Teachers
Students should be allowed to grade teachers.
15
10
5
0
-3
-2
-1
0
1
2
3
Mean: 1.74 (95% confidence interval: 1.32 to 2.17)
Instructor Report

Themes

  • The most persistent fault line was personal responsibility versus structural design. Across the social media, cell phone, and dress code threads, one student argued that outcomes depend on how an individual uses a tool or reads a rule; the other, that platform incentives, algorithmic curation, and enforcement patterns shape behavior regardless of intent. One student distinguished harmless aesthetic choices from appearance-altering edits that the "reward system" encourages.

  • Students stumbled on defining their key terms, and the discussions improved when they were forced to. "Equal importance" (sports vs. academics), "harmful" versus "merely unpopular" (cancel culture), and "sport" (e-sports) all became the real subject of debate once Guide pressed for criteria.

Guide's role

  • Guide's signature move was refusing to let a student restate their own position, requiring them instead to answer the partner's strongest specific claim. It named the claim explicitly — the incentive-structure argument, the developmental-limits argument, the eligibility-rules argument — and asked a direct question about it, keeping several conversations from becoming parallel monologues where both students had ready-made talking points.

  • Guide caught internal contradictions and named them without softening. It told one student that agreeing athletic demands define sports undercut their case for e-sports, and another that they could not both defend cancel culture as free speech and explain it as a symptom of broken systems. It pressed a student who had agreed with several of the partner's examples while still rejecting the statement to state an actual position.

  • Guide supplied the missing counterargument when neither student would. Where both students settled on "social media has no benefits," it raised isolated teens who find community online and asked whether that changes the net-harm calculation; in a sports thread it introduced employer-valued skills like leadership and resilience against an academics-first default. It asked for evidence when students made prevalence claims ("most students would choose social media over educational apps").

Common ground

  • On social media, most pairs converged on a conditional harm view even when they started far apart: harm depends on use, supervision, and age, with disagreement remaining over whether restriction or education is the right response. That fits the pre-chat distribution: 72% already agreed, and the modal response was a mild +1 rather than a strong one.

  • Both teacher-evaluation conversations landed on "yes, with guardrails." Students agreed feedback should be bounded to what they can observe — clarity, workload, alignment between instruction and assessment — and separated legitimate critique from retaliation over a hard class or a personal dislike. The class was already lopsided (79% agreed, mean +1.74) and neither pair defended the opposing view at length; the sharper question, raised by Guide, was what consequences bad feedback should carry.

  • The prom and traditions pair reached a constructive settlement, moving from "boring" versus "fun" to a joint critique that these events are built around a narrow idea of enjoyment, and proposing more interactive programming. That reframing came from Guide's challenge to the "it's just personality differences" explanation.

Persistent disagreements

  • Whether social media creates new harms or merely amplifies old ones never resolved. One side argued that filters, permanence, scale, and like-based rewards produce standards qualitatively different from ordinary social pressure; the other, that appearance standards and bullying predate the platforms and the medium is neutral. Neither produced evidence beyond personal experience, and each ended by restating the mechanism they found most convincing.

  • The cancel culture trio got furthest but stalled on a design problem. After one student conceded that current media environments cannot provide unbiased moderation, the group agreed no fair system distinguishes harmful from controversial speech, then split on what follows: one read that as proof cancel culture is inconsistent "mob rule," another that it functions as accountability. A late suggestion of AI prompts warning users before posting moved the debate from punishment to prevention, where Guide raised the same authority problem: who defines "harmful."

  • The e-sports exchange ended in a definitional standoff. One student's claim that people without access to traditional sports should "turn to the Paralympics or Special Olympics" was rejected by the partner as a bad analogy, and one side set a standard on which only an injury would count as evidence. Guide pressed both for falsifiable criteria; one ended up contradicting their own position.

Student insights

  • One student's account of a scheduling conflict produced the sharpest practical thinking in the sports threads. Rather than arguing abstractly, they proposed triage — skip low-stakes games, seek extensions for major competitions — which forced the opposing student to clarify that "equal importance" cannot mean an equal time split. That exposed the statement's ambiguity better than either opening argument.

  • The observation that the internet "paints half the picture" was the most useful contribution in the speech discussion. It reframed cancel culture as partly an information problem rather than purely a values conflict: judgments get made on partial context, and fuller context would often change them. That gave both sides something to agree on.

  • In one social media thread a student's own anecdote undercut their stated position, and Guide made that visible. The student described TikTok content reinforcing a personal insecurity while defending the platform as a useful tool; Guide pointed out that the anecdote supported the partner's thesis, and the student revised their view.

Possible student misconceptions

  • Several students treated unnamed research or statistics as settled evidence. Two appealed to "research" showing attention span declines without specifics; one cited an unspecified statistic that "C students" are more successful, which the partner challenged by asking for a source. The lesson is not that the claims are false but that students did not distinguish remembered claims from verifiable ones, and mostly could not produce sources.

  • Platform moderation tools were offered as a general answer to harms they do not address. Students cited community guidelines, comment restrictions, blocking, and reporting as evidence that harms are manageable. Guide pushed back that such tools target identifiable rule-breaking, while comparison culture and self-image effects arise from content that violates no rule — a distinction the students defending platforms did not answer.

  • The developmental-brain argument was used loosely on both sides of the drinking age debate. One student invoked ongoing brain development to justify keeping the age at 21; the partner countered that 21-year-olds' brains are also still developing. Neither addressed whether the relevant question is a threshold effect or a gradient, and Guide's question about whether any blanket age limit makes sense given individual variation went unanswered.

Lessons for your next Sway assignment

  • The statements with real numbers on both sides produced the most durable disagreement and are worth reusing. Cell phones (33% agree vs. 64% disagree), dress codes (49/41), drinking age (41/46), and traditions (31/59) sustained genuine opposition. The college statement (62/38) never came up in a conversation and is a strong candidate next time.

  • Lopsidedness alone is not the whole story. Social media drew 72% agreement yet generated six substantive conversations, several with real friction over mechanisms rather than conclusions.

  • Teacher grading (79% agree) and e-sports (79% disagree) fared worse: both teacher-grading pairs largely agreed from the start, and the single e-sports pair produced a stalemate. If you keep e-sports, ask the majority-side student to construct the strongest opposing case.

For Your Next Class
Ready-to-use follow-ups generated from this class's discussions.
Quick poll, then debate
“Re-vote: 'Cell phones are a distraction, not a learning tool, in classrooms.' Then find someone who voted differently. Your job is not to win but to name the single strongest claim on the other side and say exactly what evidence would make you change your mind about it.”
Why: Your class tilted against this statement (33% agree vs 64% disagree) with a third of students still on the other side, and ratings showed no notable movement afterward, so the disagreement is live and worth a second, more disciplined pass.
Take the other side
“Almost all of you rejected the claim that e-sports deserve the same recognition as traditional sports. So build the best case for it. In four minutes, write the criteria that make something a sport, then check: does your list exclude e-sports without also excluding golf, chess boxing, or archery?”
Why: The one e-sports pair (79% of the class had already disagreed) hit a definitional standoff rather than a debate, so assigning the minority position turns lopsidedness into a real reasoning task.
Writing prompt
“In one paragraph, quote a claim you made in your discussion that relied on 'research shows' or a statistic you could not name. Then write what would have to be true for that claim to hold, and one specific source you could check. Finish with the version of your claim you can actually defend.”
Why: Several students appealed to unnamed studies on attention spans and to an unspecified statistic about 'C students' being more successful, and mostly could not produce sources when a partner asked.
A note from Guide to your class
Guide's own reflection on these discussions — share it with your students via your LMS or next-class slides.
Across sixteen discussions you covered a lot of ground, from social media and dress codes to the drinking age and cancel culture, and the best exchanges were the ones where you stopped restating your own view and answered your partner's strongest claim directly. Two areas of real agreement stood out: that harm from social media depends on how, how much, and at what age it is used, and that students should be able to evaluate teachers as long as the feedback stays on things you can actually observe, like clarity, workload, and whether assessments match instruction. The most productive disagreements were the ones where you had to define your terms first, whether 'harmful' speech, 'equal importance' for sports and academics, or what counts as a sport at all. One habit to carry forward: when you appeal to research or a statistic, be ready to say where it comes from, because your partners were right to ask.
Chat Threads
Social Media
  • Students framed social media as a tradeoff between informational benefits and attention/mental-health costs for teenagers. Student 1 emphasized distraction, procrastination, exposure to disturbing content, cyberbullying, sleep disruption, and social comparison effects; Student 2 initially defended social media as a primary way teens learn about current events and “customize” what they see.
  • The discussion sharpened around whether algorithm-driven exposure helps teens stay informed or traps them in harmful content and echo chambers. Student 2 used a real-time news example to argue teens encounter important events organically, while Student 1 countered that the same mechanisms spread graphic videos and can narrow viewpoints, escalating conflict around politics or race and increasing misinformation/AI-generated content risks.
  • Guide’s main contribution was forcing each student to engage the other’s strongest objection, pushing the debate from general claims to a clearer ethical tension. It repeatedly reframed points into explicit pro/con lists (e.g., graphic content, procrastination, algorithm bubbles) and ended by pressing them to reconcile “preparing teens for reality” with evidence of developmental vulnerability and documented psychological harm.

Student 1, Student 2 is making an interesting argument that social media exposure - even to negative content - is necessary preparation for adult life. But you've pointed to concrete mental health harms and the reality that most teens lack the self-control to use social media healthily. How do you respond to this tension between preparing teens for reality versus protecting them from documented psychological harm during a crucial developmental period?

Social Media
  • Students centered the debate on whether social media creates uniquely unrealistic standards for teens or merely amplifies existing “real-life” pressures. Student 2 argued that filters, curation, and “perfect reality” posting produce standards that are harder to detect and therefore more damaging, while Student 1 maintained that standards exist everywhere and the harm depends mainly on individual sensitivity and interpretation.
  • The discussion evolved from general claims about “standards” to more specific mechanisms: platform incentives, permanence, and built-in editing tools. Student 2 sharpened the case by distinguishing harmless aesthetic self-expression (e.g., a consistent color theme) from appearance-altering edits rewarded by likes, and by arguing that permanence and scale raise the stakes; Student 1 largely held that the medium itself is neutral and pointed to personal perspective plus content moderation as limiting harm.
  • Guide drove the conversation forward by repeatedly forcing each student to engage the other’s best point, especially on whether social media’s scale and reward structures create new harms. When Student 2 got stuck, Guide prompted a concrete pivot to the “artificially altered standards” argument, then later pushed Student 1 to address the incentive structure claim rather than staying at the level of general personal responsibility.

Student 1, how do you respond to Student 2's distinction between authentic self-expression (like pink filters) versus appearance editing for likes? She's arguing that social media's reward system specifically incentivizes the harmful type of editing. Does this challenge your view that people are just expressing their true selves?

Sports vs. Academics
  • Students weighed “equal importance” by contrasting sports’ life-skill benefits with academics’ role as a foundation for jobs and long-term outcomes. Student 1 argued sports build teamwork, perseverance, responsibility, and healthy habits that classrooms don’t fully teach, while Student 2 countered that academics are the core obligation (the “student” in student-athlete) and are necessary even to remain eligible to play.
  • The discussion sharpened around real scheduling conflicts, pushing Student 2 toward a clearer hierarchy and Student 1 toward a “balance is the skill” framing. Student 2 emphasized stress, anxiety, and the risk of games undermining test performance, proposing a triage approach (skip low-stakes games; seek extensions for major competitions). Student 1 rejected a strict 50/50 time split but maintained equal importance, claiming the challenge of managing both is itself crucial preparation for life.
  • Guide kept the exchange from staying abstract by repeatedly forcing students to define what “equal importance” means under pressure. It pressed Student 1 to explain how equality works when tradeoffs are unavoidable and pushed Student 2 to articulate whether choosing sports at the expense of grades reflects healthy balance or poor prioritization; notably, Student 1 disengaged briefly with emoji-only responses while Student 2 delivered a firm conclusion about “right” choices.

Student 2 just raised a practical challenge to your equal importance claim. She's saying when push comes to shove - game tonight, tests tomorrow - academics should win out. If sports and academics are truly equally important, how do you handle these real scheduling conflicts? Does equal importance mean 50/50 time split, or something else?

Social Media
  • Students framed the debate as “educational utility vs. developmental vulnerability,” with Student 1 stressing social media’s learning benefits and Student 2 emphasizing teen susceptibility to misinformation. Student 1 argued platforms can expose teens to academic resources (e.g., AP help) and that risks exist everywhere, while Student 2 pushed back that teens often won’t verify claims and are heavily shaped by algorithmically curated feeds.

  • The discussion broadened from misinformation to mental health harms, especially cyberbullying and comparison culture, with only limited convergence. Student 2 introduced image-related insecurity, harassment in comments, and pressure to present an edited self, while Student 1 responded mainly with platform safeguards (community guidelines, comment limits) rather than engaging the “built-in” incentives of these platforms.

  • Guide repeatedly tightened the argument by forcing each student to respond directly to the other’s strongest claim instead of restating talking points. It pressed Student 1 to move beyond “teens should think critically” by confronting developmental limits and algorithmic targeting, and it challenged Student 1’s reliance on moderation tools by asking whether guidelines can address comparison culture and self-confidence impacts rather than just obvious rule-breaking content.**

Student 1, you keep saying teenagers should think critically, but Student 2 just explained why they developmentally can't do this as well as adults. If you accept that teenage brains are still developing and that algorithms specifically target their interests, how does telling them to work harder at critical thinking actually solve the problem Student 2 identified?

Social Media
  • Students weighed teen social media harms (cyberbullying, exclusion, inappropriate content) against benefits (connection, community, news, learning responsibility). Student 1 began with broad harm claims and leaned on the idea that texting can replace social media, while Student 2 argued social media offers distinct group-based connection and built-in tools (blocking/reporting) that can make harm more manageable than offline bullying.
  • The discussion gradually shifted from “social media is harmful” to “harm depends on use and supervision,” narrowing the real point of disagreement to responsibility and necessity. Student 2 offered analogies (driving, extracurriculars) to argue that non-necessity doesn’t imply net harm, while Student 1 countered that unlike driving/internet access, apps like Snapchat aren’t needed and are frequently misused—especially when parents don’t enforce settings or limits.
  • Guide’s main contribution was repeatedly forcing direct engagement and prompting each student to respond to the other’s strongest points rather than restating their own. It pressed Student 1 for specificity about why harms outweigh benefits, recovered Student 2’s interrupted argument, and highlighted when Student 1’s reasoning shifted toward a “misuse/lack of supervision” framework—setting up Student 2’s response that education and limits are preferable to outright restriction.

Student 2, Student 1 just shifted her argument — she's now saying the problem isn't social media itself, but that many teens misuse it and parents don't supervise properly. Does this mean we should restrict social media entirely, or are there better solutions to address irresponsible use?

School Traditions
  • Students split on whether prom and similar traditions are “overrated,” with one emphasizing boredom and limited activities while the other defended them as low-stakes fun. Student 2 framed these events as “mindless” relaxation and a chance to dress up and see friends, while Student 1 initially kept it simple (there’s “nothing to do”) and later clarified that enjoyment depends heavily on what someone considers fun.
  • The discussion evolved from a binary agree/disagree into a shared critique that the events could be improved—especially by adding more interactive options. Student 2 conceded that the social and dress-up elements could happen outside school, but argued the school-run tradition adds anticipation and breaks up routine; Student 1 accepted that point yet raised an inclusivity concern that hype doesn’t help students who dislike dances at a basic level.
  • Guide repeatedly challenged vague claims and pushed them toward underlying reasons and tradeoffs, especially around “mindless fun,” substance, and who traditions serve. Its prompts helped Student 2 articulate why structure and anticipation matter and nudged Student 1 from dismissing dances as boring to proposing concrete changes (more interactive programming) and questioning whether these traditions unintentionally exclude some students.

Student 1, you're suggesting this comes down to personality differences — but is that the whole story? What if the issue isn't just personal preference, but that these traditions are designed around a pretty narrow idea of what fun looks like?

Cancel Culture
  • Students split on whether cancel culture chills speech or serves as accountability, and they kept circling the line between “harmful” and “merely unpopular.” Student 1 argued it creates fear and over-punishes people for opinions unless there’s a direct threat, while Student 2 framed canceling as an expression of others’ free speech that can de-platform misinformation and hate (ideally with proportional, temporary consequences). Student 3 occupied a shifting middle position—agreeing it can go too far but also insisting some statements are clearly harmful and shouldn’t just “be out there.”

  • The discussion evolved toward a practical design question: can any fair system reliably distinguish harmful speech from controversial speech in messy online contexts? Student 2 conceded that today’s social media/news environment can’t provide unbiased moderation, which Student 1 used to argue cancel culture inevitably becomes inconsistent “mob rule.” Student 3 added that the internet often “paints half the picture,” making premature canceling more likely even when fuller context would change judgments.

  • Guide drove the conversation by forcing direct tradeoff comparisons and pressing students to reconcile internal contradictions, which produced the clearest concessions and refinements. It repeatedly re-aimed vague claims (“too far,” “harmful”) into operational criteria and asked which effect dominates: removing a few damaging voices vs. silencing many through fear. A notable late turn was Student 3 proposing AI “reminders” before posting to prevent harm—prompting Guide to surface the bias/authority problem (who defines “harmful”) and shifting the debate from punishment to prevention design.

You're saying cancel culture exists because we don't have fair systems - but earlier you defended it as protecting free speech. If cancel culture only exists because our systems are broken, doesn't that prove Student 1's point that it's harmful? You can't have it both ways - either it's a useful tool for accountability, or it's a flawed substitute for better systems.

Social Media
  • Students split quickly, with Student 1 treating social media as mostly harmless entertainment and Student 2 arguing it’s structurally harmful for teens’ beliefs. Student 1 started with a narrow benefit (gaming) and leaned on personal responsibility (avoid weird/inappropriate posts), while Student 2 emphasized pervasive exposure and political misinformation as the central harm.
  • The discussion pivoted into a back-and-forth over consistency and agency: if social media is harmful, why use it, and if teens are “responsible,” what’s the evidence? Student 2 framed usage as near-inevitable for this generation and suggested harm-reduction through “learning to use it” better, while Student 1 repeatedly tried to refute harm by pointing to individual experience (implying that if they aren’t harmed, the risk is overstated). Student 2 offered an anecdotal example (public debates featuring uninformed students) to support the claim that teens absorb and repeat low-quality political content.
  • Guide was most effective when It pushed both students to move beyond slogans toward testable claims about net effects and typical teen behavior. It challenged Student 1’s “it depends how you use it” stance by asking whether teens actually use political content wisely, and pressed Student 2 on the tension between calling social media mostly harmful while saying it’s a major part of life—implicitly raising questions about compulsion vs. choice.

If teenagers are getting their political information primarily from social media rather than more reliable sources, how does that support your claim that they're using it wisely?

Drinking Age
  • Students weighed a public-health argument for keeping the drinking age at 21 against an autonomy/social-norms argument for lowering it to 18. Student 1 emphasized brain development, addiction risk, and limited life experience, while Student 2 initially leaned on the fact that many college students drink anyway and that 18-year-olds are legal adults.

  • The discussion featured abrupt shifts and some shaky reasoning that Student 1 challenged directly. Student 2 made a derisive “nerds vs. partyers” claim and referenced an unspecified statistic about “C students” being more successful, prompting Student 1 to ask for a source; Student 2 then flipped positions multiple times before returning to the “it’s only 3 years” and “18 is an adult” framing. By the end, Student 2 tried a counterpoint that 21-year-olds’ brains are also still developing, signaling a move from social claims toward the developmental evidence debate.

  • Guide repeatedly pushed for direct engagement with evidence, consistency, and the core tradeoff between health risk and adult autonomy. It called out Student 2’s rapid reversals, demanded clearer justifications for claims about responsibility at 18, and kept redirecting the conversation back to brain development, addiction risk, and maturity differences. Guide also introduced a complicating question about whether a blanket age limit makes sense if “life experience” varies widely across individuals, which neither student fully resolved.

Hold on, Student 2 — that seems like a pretty quick shift! Student 1 raised two specific points: brain development effects and lack of life experience for responsible consumption. Which of these arguments actually convinced you, and why? It's worth exploring what changed your mind so dramatically in just a few minutes.

Social Media
  • Students quickly converged on the view that social media does more harm than good for teenagers, despite starting on opposite sides. Student 1 began by calling social media a useful tool if teens can separate “good from bad,” but shifted after describing an experience where TikTok content reinforced an insecurity; they later admitted their initial disagreement was basically a random click rather than a considered stance.

  • Their main harms centered on algorithmic reinforcement (FOMO/insecurity) and reduced attention span, with benefits treated as hard to identify or outweighed. Student 2 argued that platforms show users what they already fixate on, leading to regretful time loss and more negative effects than positive ones; both then latched onto “research” about attention span declines but stayed mostly at the level of general claims rather than specifics or tradeoffs. When Guide introduced “connection/community” as a counterweight, Student 1 acknowledged the point but framed it as outside their personal experience, while Student 2 allowed it matters but doubted social media is the best way to build community.

  • Guide drove the discussion by forcing students to reconcile claims with lived examples, clarify mechanisms, and test whether harms truly dominate. It highlighted when Student 1’s anecdote supported Student 2’s thesis, pressed Student 2 to justify broad prevalence/severity claims beyond personal circles, and repeatedly redirected them from “new topics” to unresolved disagreements. Guide’s strongest move was challenging their “no benefits” posture by raising the possibility of social media as support infrastructure for isolated teens and asking how that should affect a net-harm calculation.

Student 1, you said you cannot think of any benefits at this time — but what about connection? Many teenagers use social media to find communities, especially those who feel isolated in their physical environments. LGBTQ+ teens, kids with niche interests, those in small towns — doesn't this access matter? Are you both sure there are zero meaningful benefits?

Teachers
  • Students converged on a “yes, but with guardrails” view of letting students grade teachers. Although the prompt began as a disagreement, Student 1 quickly corrected that they actually supported the idea, and both students ended up emphasizing conditional approval—students can provide feedback, but it should be bounded and respectful to avoid damaging teacher–student relationships.

  • Their main concerns were biased or immature evaluations, and they tried to distinguish legitimate critiques from complaints about difficulty. Student 2 (arguing the assigned opposing side) warned that some students might retaliate with low ratings due to personal dislike or because a class is hard, while Student 1 echoed worries about disrespect and “overstepping.” They floated partial solutions—limiting what gets evaluated (clarity, workload, alignment with class content) and providing guidance on how to give constructive feedback—without fully resolving who defines “fair” or how to filter popularity effects.

  • Guide kept the discussion from stalling by forcing specificity and stress-testing their proposed safeguards. It pressed Student 1 to define what “only some of the time” and “limits” actually mean, challenged the idea that age alone solves immaturity, and pointed out when Student 1’s agreement undermined the assigned debate roles. Guide also pushed them toward higher-stakes implications, especially what negative feedback should mean for teacher accountability versus incentivizing popularity-seeking behavior.

Student 2, that's a crucial question - what if a teacher gets consistently bad feedback? Should they face consequences like poor performance reviews or job loss? Or does this risk creating a system where teachers just try to be popular rather than effective educators?

School Dress Codes
  • Students started with confusion about what “targeting certain groups” even means, then moved from weather-based fairness to identity-based rules. Student 1 initially questioned the premise and pushed back with an example about girls wearing skirts, while Student 2 first cited heat/pants requirements; the discussion only became clearly about “groups” once hair and jewelry rules were raised.
  • The most substantive pivot came when Student 2 introduced hair codes as disproportionately affecting Black students, and Student 1 abruptly reversed positions. Student 1 went from disagreeing to agreeing that dress codes can unfairly target certain students, citing gender-based earring rules as the decisive example; Student 2 also added a cultural hairstyle example but didn’t develop it much.
  • Guide kept forcing logical consistency and tried to extend the conversation beyond agreement, but students showed low engagement and a “winning” mindset. It challenged Student 2 to connect examples to the claim of unfair targeting and pressed Student 1 to reconcile a contradiction, then pushed for counterarguments; Student 2 refused to consider counterarguments and ended with a sweeping claim that dress codes serve no real purpose, while both students drifted into off-topic and emoji-heavy replies.

Student 1, hold on - you can't just quit when the discussion gets challenging. You've now agreed with Student 2 on multiple points about targeting specific groups, but you still disagree with the main statement. That's a contradiction you need to work through. What's your actual position here?

Sports vs. Academics
  • Both students ended up rejecting the idea that sports are just as important as academics, quickly aligning around academics-first. Student 1 initially said they agreed due to a misclick, then clarified they actually disagreed and repeatedly affirmed Student 2’s “student comes first” framing, with the main rationale being school requirements and long-term usefulness.

  • Their reasoning centered on practicality (grades as eligibility, academics as requirement, jobs), while the “life skills from sports” angle was acknowledged but not developed. Student 2 argued academics open better job opportunities than athletics, and Student 1 emphasized sports as extracurricular and time-limited; when pressed about lasting mental skills (pressure, resilience), Student 1 conceded those matter but still asserted education matters more without adding a deeper justification.

  • Guide’s main contribution was repeatedly forcing clarification and pushing beyond shallow claims, though the students often responded briefly or disengaged. It corrected the initial position confusion, challenged the default “academics first” stance by introducing transferable skills from sports and asking for criteria of importance, and redirected an off-topic student message back to the prompt; despite this, both students struggled to articulate a non-circular “why,” especially near the end when they ran out of things to say.

If sports develop crucial skills like leadership, teamwork, and resilience that many employers actually value highly, how does that change your view? Are you saying the content of academics is more valuable, or just that it's more likely to lead to traditional career paths?

Teachers
  • Students treated teacher grading as a fairness and accountability issue, arguing that evaluation should run both ways. Student 1 framed it as reciprocity—if teachers assess students, students should assess instruction—then extended it to a practical claim that student feedback could help match learners with teachers whose methods work for them.
  • Student 2 started from a traditional role-based view (students attend to learn; teachers teach) but quickly shifted toward a partial-approval stance. Rather than rejecting the idea outright, Student 2 suggested there are “some things” students could reasonably grade, though they didn’t yet specify what those dimensions should be.
  • Guide pushed the conversation past a simple “fairness” intuition by probing whether students can reliably judge teaching quality and what, exactly, should be evaluated. It challenged the equivalence between teacher-to-student grading and student-to-teacher grading, then asked Student 2 to operationalize their mixed position into concrete evaluative criteria.

Student 1, you're making a reciprocity argument - if teachers grade students, students should grade teachers. But is that comparison really equivalent? What's the fundamental difference between a teacher evaluating student learning versus a student evaluating teaching quality? Are students equipped to make those judgments? Student 2, you seem conflicted - you slightly disagree but also see merit in student grading. What specifically would you want students to be able to grade teachers on?

Cell Phones at School
  • Students quickly split into “phones distract” versus “phones can support learning” and stayed mostly on those tracks. Student 1 argued that even when phones are allowed for class purposes, students drift to social media and attention drops; Student 2 countered that specific apps can be used for learning but didn’t develop concrete classroom conditions that would make that realistic.
  • The discussion shifted from distraction to academic integrity when Student 1 introduced cheating via phones and AI during tests. Student 2 showed confusion about a claim regarding test scores, and Student 1 reframed the point as bans helping reveal who is genuinely learning versus relying on unauthorized help, but no specific evidence or examples were provided.
  • Guide’s main contribution was pressing for evidence and clarifying ambiguities while forcing both students to address each other’s strongest point. It challenged Student 1’s “most students” generalization and asked Student 2 to directly respond to the self-regulation problem, then intervened to resolve the “too high/too low” test-score confusion and request concrete examples of score changes after bans.

Student 1, what specific evidence or experiences make you confident that most students would choose social media over educational apps? Student 2, you mentioned educational apps — but how do you respond to Student 1's concern that students might simply ignore those apps in favor of more entertaining options? This gets to a core question: can we realistically expect students to self-regulate their phone use for learning when more immediately gratifying alternatives are just a tap away?

E-Sports
  • Students clashed over what makes something a “sport,” with Student 1 emphasizing competition/skill/community and Student 2 insisting on physical exertion as the defining feature. Student 1 initially framed “recognition” as appreciation and pointed to fans, scholarships, and industry scale, while Student 2 repeatedly returned to a definitional argument (sport = athletic demands) and to claims about harms to physical/mental wellbeing.
  • The discussion included a striking (and somewhat insensitive) detour when Student 2 suggested people lacking access to traditional sports should instead “turn to the Paralympics or Special Olympics.” Student 1 rejected that analogy and tried to broaden the category by comparing e-sports to chess/archery and to institutional recognition (universities/Olympics), but Student 2 doubled down that e-sports offer no cultural/mental benefits and set an unusual bar for recognition (needing an injury to be persuaded).
  • Guide repeatedly pressured both students to define terms, respond to evidence, and stay consistent, and it exposed a key contradiction at the end. In particular, Guide pushed Student 2 to specify what evidence could change their mind and then highlighted that Student 1’s sudden agreement with “athletic demands” undercut their own case, leaving the conversation unresolved as Student 2 disengaged (“ok”) and Student 1’s position became internally inconsistent.

Wait - Student 1, you just agreed that athletic demands separate sports from competitions. But that seems to contradict your entire argument! You've been saying e-sports deserve recognition as sports - but if athletic demands are what define sports, and e-sports lack those demands, then aren't you conceding Student 2's point? What's going on here?

Post-Chat Survey Data

31

Total Survey Responses

16

Threads With Surveys

84.2%

Response Rate

Pre/Post Opinion Change by Topic
Shows opinion distributions before and after discussion for students who provided both pre-chat and post-chat responses. Only topics with at least 5 matched responses are shown.
Social Media
Social media does more harm than good for teenagers.
Strongly
agree
Moderately
agree
Slightly
agree
No idea
Slightly
disagree
Moderately
disagree
Strongly
disagree
3
2
1
0
-1
-2
-3
Pre-chat
Post-chat
Wilcoxon signed-rank: W = 8, p = 0.129
Hodges-Lehmann Δ = 1.50 (95% CI: -0.50 to 3.00)
Survey Response Distributions
Scale: –2 = Strongly disagree, 0 = Neutral, +2 = Strongly agree. Post-chat surveys sample a subset of the total survey items, so response counts vary across some items.
How was your chat?
🔥 Awesome 7 (26%)
👍 Good 15 (56%)
😐 It's OK 4 (15%)
👎 Not a fan 1 (4%)
💩 Hated it 0 (0%)
mean = 1.04 (95% confidence interval: 0.74–1.34)
I felt comfortable sharing my honest opinions with my partner
Strongly agree 9 (64%)
Agree 5 (36%)
Neutral 0 (0%)
Disagree 0 (0%)
Strongly disagree 0 (0%)
mean = 1.64 (95% confidence interval: 1.36–1.93)
My partner was respectful
Strongly agree 13 (93%)
Agree 1 (7%)
Neutral 0 (0%)
Disagree 0 (0%)
Strongly disagree 0 (0%)
mean = 1.93 (95% confidence interval: 1.77–2.00)
My partner was genuinely trying to understand my perspective
Strongly agree 12 (71%)
Agree 4 (24%)
Neutral 1 (6%)
Disagree 0 (0%)
Strongly disagree 0 (0%)
mean = 1.65 (95% confidence interval: 1.34–1.96)
I was not offended by my partner's perspective
Strongly agree 9 (75%)
Agree 3 (25%)
Neutral 0 (0%)
Disagree 0 (0%)
Strongly disagree 0 (0%)
mean = 1.75 (95% confidence interval: 1.46–2.00)
It was valuable to chat with a student who did NOT share my perspective
Strongly agree 6 (50%)
Agree 6 (50%)
Neutral 0 (0%)
Disagree 0 (0%)
Strongly disagree 0 (0%)
mean = 1.50 (95% confidence interval: 1.17–1.83)
My partner had better reasons for their views than I expected
Strongly agree 5 (42%)
Agree 4 (33%)
Neutral 2 (17%)
Disagree 1 (8%)
Strongly disagree 0 (0%)
mean = 1.08 (95% confidence interval: 0.45–1.72)
Sway helped me articulate my thoughts/feelings better
Strongly agree 5 (45%)
Agree 4 (36%)
Neutral 1 (9%)
Disagree 1 (9%)
Strongly disagree 0 (0%)
mean = 1.18 (95% confidence interval: 0.52–1.84)
Guide treated me and my partner with equal respect
Strongly agree 8 (50%)
Agree 5 (31%)
Neutral 2 (12%)
Disagree 0 (0%)
Strongly disagree 1 (6%)
mean = 1.19 (95% confidence interval: 0.60–1.78)
Guide's contributions improved the discussion
Strongly agree 12 (46%)
Agree 9 (35%)
Neutral 3 (12%)
Disagree 0 (0%)
Strongly disagree 2 (8%)
mean = 1.12 (95% confidence interval: 0.65–1.58)
Guide supported both sides of the discussion equally
Strongly agree 3 (27%)
Agree 7 (64%)
Neutral 1 (9%)
Disagree 0 (0%)
Strongly disagree 0 (0%)
mean = 1.18 (95% confidence interval: 0.78–1.59)
Guide contributed the right amount
Agree 18 (69%)
Neutral 5 (19%)
Disagree 3 (12%)
mean = 0.58 (95% confidence interval: 0.29–0.86)
It would be good if more students and classes used Sway
Strongly agree 6 (55%)
Agree 5 (45%)
Neutral 0 (0%)
Disagree 0 (0%)
Strongly disagree 0 (0%)
mean = 1.55 (95% confidence interval: 1.19–1.90)