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When a Social Media Mob Came for Cornell’s Jane Doe

After a former student named seven men in a lawsuit saying they had sexually assaulted her, a movement gained steam online to reveal her identity.

Elon Musk and Peter Thiel: The billionaires fomenting a global race war

The tech bros' strategy to protect their wealth is to direct fear and hostility towards 'the Other' - migrants, Muslims, the 'woke'

Las denuncias de sesgo contra plataformas digitales se multiplican en las elecciones de Brasil

Las denuncias contra Meta, Google y X por presuntos sesgos y contenidos engañosos trasladan la batalla entre Lula y Flávio Bolsonaro al terreno tecnológico.

The Major Social Media Platforms Are All Rejecting Paid Ads for Alex Gibney’s ‘Musk’ (Exclusive)

YouTube, TikTok and Meta have all turned down the trailer for the Oct. 9 doc, citing “political” content. X won't even take Bleecker Street's calls. The distributor is appealing.

Scientists no Longer Find Twitter Professionally Useful, and have Switched to Bluesky

Synopsis Social media has become widely used by the scientific community for a variety of professional uses, including networking and public outreach. For the past decade, Twitter has been a primary home of scientists on social media. In recent years, new leadership at Twitter has made substantive changes that have resulted in increases in the prevalence of pseudoscience, conspiracy theory, and harassment on the platform, causing many scientists to seek alternatives. Bluesky has been suggested as a good alternative to Twitter, but the phenomenon of academics switching social media platforms has not previously been studied. Here we report on the results of a survey distributed to scientists on Twitter and Bluesky (n = 813). Results overwhelmingly confirm that changes to Twitter have made the social media platform no longer professionally useful or pleasant, and that many scientists have abandoned it in favor of Bluesky. Results show that for every reported professional benefit that scientists once gained from Twitter, scientists can now gain that benefit more effectively on Bluesky than on Twitter.

X Corp

X, formerly known as Twitter, is a global social-media platform that facilitates real-time communication and the sharing of short messages, known as "tweets". Founded...

Twitter Is Still Throttling Competitors’ Links—Check for Yourself – The Markup

Loading links to Bluesky, Facebook, Instagram, and Substack takes far longer than to other sites. We built a tool so you can check any domain you like

Sky Follower Bridge

Instantly find and follow the same users from your 𝕏 followers on Bluesky

MUSK | Only In Select Theaters October 9, Nationwide October 16

An incisive look behind the legend of Elon Musk, the world’s most heralded “inventor-entrepreneur” who has enormous influence on the world in which we all live.

マスク氏が振りかざす「黙らせる訴訟」　米国で乱発、言論封殺の恐れ

米国の富豪や大企業、政治家らが「黙らせる訴訟」とも呼ばれるスラップ訴訟を次々に起こしている。裁判で勝つ見込みが薄くても、被告側に多額の弁護士費用や時間的なコストを負わせて圧力をかけることが狙いの裁判だ。言論封殺につながるとの懸念が高まっている。「月曜に裁判所が開いたらすぐに、核爆弾級の訴訟を起こしてやる」。世界一の富豪のイーロン・マスク氏は2023年11月、米メディア監視団体の「メディア・マタ

Elon Said Fighting CSAM Was “Priority #1.” A NY Times Reporter With A Script Found 75 Known Images.

When Elon first took over Twitter with grand plans to “bring back free speech,” I tried to help him run through the standard content moderation learning curve that basically every site …

沖縄知事選、X投稿88％が県外　デマや中傷拡散、結果に影響か | NEWSjp

13日投開票の沖縄県知事選に関連するX（旧ツイッター）投稿を分析すると、88.1％が県外から発信され...

AIがX投稿を自動要約　内容が二転三転、誤情報拡散の一因に

今回、Ｘ（旧ツイッター）上で誤情報が拡散する一因となったのが、注目の話題に関する投稿を人工知能（ＡＩ）で自動要約し、記事風にまとめて「ニュース」として知らせる機能だ。「全て嘘」に関連する投稿も要約の対象となり、ＡＩによって見出しと文章が次々に生成された。

A Russian disinformation campaign is doctoring celebrity videos to meddle in the midterms

The Kremlin-backed operation, known as Matryoshka, has Hollywood actors telling voters to disavow the Democratic Party and vote Republican.

Elon Musk Has Pledged to Rid His Platform, X, of Child Sexual Abuse, but It Persists

Reviews by the Canadian Center for Child Protection and The New York Times found that explicit images of children remain on the social media site owned by Elon Musk.

marcomaroni.it/twitter-to-bluesky

Import all tweets exported from X/Twitter to a Bluesky account.

Evaluating Twitter’s algorithmic amplification of low-credibility content: an observational study

Artificial intelligence (AI)-powered recommender systems play a crucial role in determining the content that users are exposed to on social media platforms. However, the behavioural patterns of these systems are often opaque, complicating the evaluation of their impact on the dissemination and consumption of disinformation and misinformation. To begin addressing this evidence gap, this study presents a measurement approach that uses observed digital traces to infer the status of algorithmic amplification of low-credibility content on Twitter over a 14-day period in January 2023. Using an original dataset of ≈ 2.7 million posts on COVID-19 and climate change published on the platform, this study identifies tweets sharing information from low-credibility domains, and uses a bootstrapping model with two stratifications, a tweet’s engagement level and a user’s followers level, to compare any differences in impressions generated between low-credibility and high-credibility samples. Additional stratification variables of toxicity, political bias, and verified status are also examined. This analysis provides valuable observational evidence on whether the Twitter algorithm favours the visibility of low-credibility content, with results indicating that, on aggregate, tweets containing low-credibility URL domains perform better than tweets that do not across both datasets. However, this effect is largely attributable to a difference in high-engagement, high-followers tweets, which are very impactful in terms of impressions generation, and are more likely receive amplified visibility when containing low-credibility content. Furthermore, high toxicity tweets and those with right-leaning bias see heightened amplification, as do low-credibility tweets from verified accounts. Ultimately, this suggests that Twitter’s recommender system may have facilitated the diffusion of false content by amplifying the visibility of low-credibility content with high-engagement generated by very influential users.