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@Matt_Pinner
We are the media
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@cb_dogeposted on X
đť•Ź is the new model of news. "What we are doing on the đť•Ź platform is we are using AI to sum up the aggregated input from users who are at the scene and who are experts in the field and aggregate that into a real-time news feed which is far better than conventional journalism." https://t.co/aq3WEENRlz
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Community Sentiment Analysis
Real-time analysis of public opinion and engagement
Sentiment Distribution
82% Engaged
63% Positive
19% Negative
Positive
63%
Negative
19%
Neutral
17%
Key Takeaways
What the community is saying — both sides
Supporting
1
A big wave of enthusiasm celebrates real-time, crowd-sourced reporting powered by AI—users repeatedly call it “we are the media now,” praise the platform’s speed, and say it delivers first-hand truth faster than traditional outlets
A big wave of enthusiasm celebrates real-time, crowd-sourced reporting powered by AI—users repeatedly call it “we are the media now,” praise the platform’s speed, and say it delivers first-hand truth faster than traditional outlets.
2
Many argue this model undercuts legacy journalism
replies emphasize no gatekeepers, redundancy and diversity of eyewitnesses, and a belief that X can outpace and out-verify slow newsrooms.
3
At the same time, several voices urge restraint—verification, contextual synthesis, and editorial integrity are raised as necessary complements to raw aggregation
At the same time, several voices urge restraint—verification, contextual synthesis, and editorial integrity are raised as necessary complements to raw aggregation.
4
Commenters question policy and funding priorities, noting debates like the AI literacy bill (S
Commenters question policy and funding priorities, noting debates like the AI literacy bill (S.
5
and criticizing public-media subsidies while platforms deploy operational AI—this injects a political dimension into the conversation
and criticizing public-media subsidies while platforms deploy operational AI—this injects a political dimension into the conversation.
6
Adoption signals are strong
users report ditching news apps, bookmarking feeds, and celebrating the platform as the go-to source, with many thanking or praising leadership for the shift.
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A smaller but notable thread underscores practical concerns and curiosity—readers ask how accuracy will be ensured, where ethical guardrails sit, and whether AI/human collaboration will find the right balance
A smaller but notable thread underscores practical concerns and curiosity—readers ask how accuracy will be ensured, where ethical guardrails sit, and whether AI/human collaboration will find the right balance.
Opposing
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Algorithms are failing
Many replies rail against recommendation systems, calling them biased, attention-seeking, and effectively turning the site into a megaphone for certain actors or ads rather than a reliable news source.
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People want editorial standards
A recurring theme is that speed and aggregation without verification produces misinformation; users argue platforms need disciplined editorial judgment, not just AI-driven feeds.
3
Widespread accusations of disinformation and propaganda
Several replies claim the platform is rife with fake news, white supremacist content, or coordinated narratives, with some estimating very high levels of false information.
4
Blame the incentives and architecture
Commenters point to designed incentives, fragmented oversight, and monetization structures as the root causes that reward sensationalism and suppression rather than accuracy.
5
Experts vs. crowd debate
Many contrast trained journalists with mass “crowdsourced” takes, arguing that expert analysis and transparency can’t be replaced by unverified aggregator outputs, while others mock the idea of true experts on the platform.
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AI as tool, not replacement
Several voices accept AI’s role in data collection but insist it cannot substitute for editorial responsibility, governance, and source verification.
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Accusations of selective suppression and platform bias
Users allege inconsistent curation—same story posted across services gets different treatment—and call out perceived favoritism toward certain accounts or agendas.
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Tone is largely angry, sarcastic, and distrustful
Replies mix frustration, ridicule, and calls for reform, with a few brief supportive or neutral comments scattered throughout.
Top Reactions
Most popular replies, ranked by engagement
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@Terokutakeover
Kekius maximus create đť•Ź ,and đť•Ź is the media now
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@ornery_owls
đť•Ź is literally breaking generational indoctrination.
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230
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@TheKingCorcoran
Aggregation without verification is just faster misinformation.
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100
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@_Gkor
AI can collect data, but it doesn't replace editorial responsibility. Without transparent governance and source verification, this isn't a new news model, but an accelerated model of disinformation.
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@KrasnovHunter
Its 80-90% disinformation.
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