social media
PulseAugur coverage of social media — every cluster mentioning social media across labs, papers, and developer communities, ranked by signal.
10 天有情绪数据
Social media's core function is increasingly seen as user data harvesting for manipulation and engagement optimization.
Recent evidence highlights that social media platforms harvest user behavior for training data to manipulate users and optimize engagement, often through outrage-inducing content. This framing suggests a fundamental shift in how social media's business model and impact are perceived, moving beyond simple connection to active, data-driven influence.
Social media's algorithmic amplification of outrage may contribute to biased media coverage.
While one cluster notes US media bias against Palestinians, another details how social media algorithms optimize for outrage to maximize engagement. It's plausible that the amplification of emotionally charged and potentially biased content on social media platforms influences and exacerbates existing biases in broader media coverage.
Social media platforms may face increased regulatory scrutiny in Canada and Indonesia regarding minors' access.
Manitoba is considering a ban on social media and AI for those under 16, and Indonesia is extending its under-16 ban to e-commerce. This suggests a growing trend of governments attempting to regulate minors' exposure to digital platforms, potentially leading to similar legislative efforts in other jurisdictions.
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Internet's negative impact on intelligence predates AI and social media
The internet's impact on human intelligence predates social media and AI, with its current state potentially being a net negative. This perspective suggests that the vastness of online information may be detrimental to …
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Meteorologists warn against hurricane season social media hype
As the Atlantic hurricane season approaches, meteorologists are warning against the spread of social media hype and alarmism. Influencers often share early, single-run weather model data that can be misleading and under…
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New dataset tracks hope speech in Arabic social media during crises
Researchers have introduced AraHopeCorpus, a new dataset designed to study hope speech in Arabic social media during crises. The corpus, derived from 10,000 YouTube comments related to the Gaza conflict from 2023-2024, …
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New pipeline targets abusive comments in Indic languages
Researchers have developed a multi-stage training pipeline for detecting abusive comments in Indic languages. The proposed system utilizes language-based preprocessing and an ensemble of models to identify harmful conte…
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Surgeon General advisory details screen time risks and benefits for children
A new advisory from the Department of Health and Human Services highlights the nuanced effects of screen time on children, noting both significant risks and potential benefits. While excessive use, particularly of socia…
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UK Education Committee demands social media ban for children
The UK's Education Committee has called for a ban on social media for children, citing concerns over their mental health and the failure of tech companies to self-regulate. The committee believes that technology firms c…
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UK campaigners urge targeted social media ban for under-16s
Campaigners are advising Keir Starmer to implement a targeted ban on social media for individuals under 16, focusing specifically on apps deemed unsafe. They argue that broad restrictions could be counterproductive and …
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Social media harvests user behavior as training data for manipulation
Social media platforms are not merely tools for connection but sophisticated systems that harvest user engagement as training data. Every interaction, from scrolling to reacting, refines user behavioral profiles that ar…
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AI-driven social media challenges traditional human virtues
The rise of AI-driven social media raises questions about the survival of traditional human virtues. It is uncertain whether qualities like humility, politeness, and respect can endure in an environment increasingly sha…
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Social media algorithms optimize for outrage to maximize user engagement
Social media platforms have been designed to maximize user engagement by prioritizing content that generates outrage and conflict over truth and understanding. This algorithmic optimization, driven by the business model…
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US media coverage shows statistical bias against Palestinians
A statistical analysis of US media coverage reveals a bias against Palestinians, according to findings published by The Intercept. The article presents data to support claims of skewed reporting on the Israeli-Palestini…
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Manitoba eyes AI, social media ban czar for kids
The premier of Manitoba, Canada, is considering appointing a commissioner to enforce a proposed ban on social media and AI chatbots for individuals under 16. This move aims to regulate children's access to these technol…
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Indonesia extends under-16 ban to e-commerce to curb scams
Indonesia is expanding its ban on social media use for individuals under 16 to include e-commerce platforms. This move is intended to shield young consumers from online scams and prevent impulsive purchases. However, im…
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EU proposes 'delayed social media use' policy for children
The European Union is considering new legislation to restrict children's access to social media, potentially proposing a "delayed social media use" policy as early as this summer. This move is driven by ongoing concerns…
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SC lawmakers focus on child safety amid AI and social media concerns
South Carolina lawmakers are highlighting the risks AI and social media pose to children. The initiative aims to increase public awareness about these dangers and promote safer online environments for young people. This…
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Ted Turner's CNN pioneered the 24-hour news cycle, influencing social media
Ted Turner revolutionized news consumption with CNN by pioneering the 24-hour, always-on news cycle, effectively inventing the "open loop" format. This innovation, initially intended to foster a global village through s…
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Northern Ontario police cite AI, social media in rising child exploitation cases
Northern Ontario police are increasingly encountering online child exploitation cases, with a notable rise over the past decade. Authorities are identifying AI and social media platforms as tools that predators are leve…
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AI tools for social media ranked and reviewed for 2026
This article provides a ranking and review of artificial intelligence tools specifically designed for social media applications in 2026. The evaluation considers multiple categories to assist users in choosing the most …
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Analysis highlights missed issues in social media ban debate for children
A recent analysis highlights that critical aspects are being overlooked in discussions about potentially banning social media for minors. The piece suggests that the current debate is not fully addressing the nuances of…
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New Omni-Fake dataset benchmarks multimodal deepfake detection on social media
Researchers have introduced Omni-Fake, a new benchmark dataset designed to improve the detection of multimodal deepfakes on social media. The dataset includes over 1 million samples across image, audio, video, and audio…