Titlebook: Disinformation in Open Online Media; 5th Multidisciplinar Davide Ceolin,Tommaso Caselli,Marina Tulin Conference proceedings 2023 The Editor

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書目名稱Disinformation in Open Online Media影響因子(影響力)




書目名稱Disinformation in Open Online Media影響因子(影響力)學(xué)科排名




書目名稱Disinformation in Open Online Media網(wǎng)絡(luò)公開度




書目名稱Disinformation in Open Online Media網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Disinformation in Open Online Media被引頻次




書目名稱Disinformation in Open Online Media被引頻次學(xué)科排名




書目名稱Disinformation in Open Online Media年度引用




書目名稱Disinformation in Open Online Media年度引用學(xué)科排名




書目名稱Disinformation in Open Online Media讀者反饋




書目名稱Disinformation in Open Online Media讀者反饋學(xué)科排名

評(píng)論性

The Commonwealth Of The Bahamas,e most unusual interactions. We apply our framework to two Twitter datasets, the Russian Internet Research Agency (IRA), and long-term discussions on Data Science topics. The results demonstrate our framework’s ability to isolate unusual activity from expected normal behavior and provide valuable insights for further qualitative investigation.

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開玩笑

用不完

新鮮

新鮮

,ChatGPT as?a?Commenter to?the?News: Can LLMs Generate Human-Like Opinions?,with none of the used prompting methods performing noticeably better. We further analyzed that human comments consistently showed higher lexical diversity than GPT-generated comments. This indicates that although generative LLMs can generate fluent text, their capability to create human-like opinionated comments is still limited.

積極詞匯

,Is Foreign Language News More or?Less Credible Than Native Language News? Examining the?Foreign Lan the foreign language article. Participants with a low need for cognition perceived the foreign news article as similarly credible as compared to the native news. The language condition did not affect emotional responses.

Palpate

irreparable

,The Effect of?Misinformation Intervention: Evidence from?Trump’s Tweets and?the?2020 Election,ubsequent flow of misinformation about the election, we find that in a number of instances content moderation reduced the flow of social media misinformation. We estimate that Twitter’s actions, on the universe of tweets we study in our paper, reduced the flow of misinformation on Twitter by approximately 15%.