標題: Titlebook: Disinformation in Open Online Media; 5th Multidisciplinar Davide Ceolin,Tommaso Caselli,Marina Tulin Conference proceedings 2023 The Editor [打印本頁] 作者: enamel 時間: 2025-3-21 16:43
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)學科排名
書目名稱Disinformation in Open Online Media網(wǎng)絡公開度
書目名稱Disinformation in Open Online Media網(wǎng)絡公開度學科排名
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讀者反饋學科排名
作者: 評論性 時間: 2025-3-21 21:05
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.作者: 儀式 時間: 2025-3-22 01:56 作者: 開玩笑 時間: 2025-3-22 04:52 作者: 用不完 時間: 2025-3-22 09:31 作者: 新鮮 時間: 2025-3-22 13:03 作者: 新鮮 時間: 2025-3-22 20:18
,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.作者: 積極詞匯 時間: 2025-3-22 23:56
,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.作者: Palpate 時間: 2025-3-23 01:34 作者: irreparable 時間: 2025-3-23 08:59
,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%.作者: 天空 時間: 2025-3-23 10:51
Conference proceedings 2023elected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings..作者: prediabetes 時間: 2025-3-23 15:16 作者: Accomplish 時間: 2025-3-23 19:34
The Commonwealth Of The Bahamas, poorly detectable campaigns at the content level. Thus, we evaluate classical classifiers and a new method based on siamese neural networks. Our results show that campaigns can be detected despite the limited reliability of the classifiers as long as they are based on a large amount of simultaneously spread artificial content.作者: 藐視 時間: 2025-3-23 22:17
The Commonwealth Of The Bahamas,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%.作者: 競選運動 時間: 2025-3-24 06:18 作者: Judicious 時間: 2025-3-24 10:12
The Commonwealth Of The Bahamas,udy to examine the contribution of textualized image information to campaign recognition. The results indicate that, using image captions separate from or alongside tweet texts, connections between campaigns can be identified, and new campaigns detected.作者: llibretto 時間: 2025-3-24 11:35
,Towards Multimodal Campaign Detection: Including Image Information in?Stream Clustering to?Detect Sudy to examine the contribution of textualized image information to campaign recognition. The results indicate that, using image captions separate from or alongside tweet texts, connections between campaigns can be identified, and new campaigns detected.作者: 搬運工 時間: 2025-3-24 15:04
Conference proceedings 202323, which was held in Amsterdam, The Netherlands, during November 21–22, 2023..The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large作者: troponins 時間: 2025-3-24 22:23
Generative AI for Explainable Automated Fact Checking on the FactEx: A New Benchmark Dataset,at classify evidence into binary or multi-class verdicts. However, there are few studies on predicting textual verdicts to explain claims’ credibility. This field focuses on generating a textual verdict to explain a given claim based on a given news article. This paper presents our three-fold contri作者: Exonerate 時間: 2025-3-25 02:36 作者: phytochemicals 時間: 2025-3-25 05:36
,FaKy: A Feature Extraction Library to?Detect the?Truthfulness of?a?Text,r effectiveness. Textual features have shown their potential to help identify fake news in a transparent manner. In this paper, we survey a list of textual features, evaluate their usefulness in predicting fake news by testing them on a real-world dataset, and collect them in a Python library called作者: 四目在模仿 時間: 2025-3-25 08:06
From Sharing Misinformation to Debunking It: How Coordinated Image Text Sharing Behaviour is Used in posts containing images about Lula da Silva or Jair Bolsonaro, the candidates in the Brazilian run-off election (n?=?509,219 Facebook posts). The analysis is based on a script to identify CITSB on Facebook and includes social network analysis and a manual review of the most shared content. Finding作者: integrated 時間: 2025-3-25 13:05 作者: 諂媚于性 時間: 2025-3-25 17:55
,Lost in?Transformation: Rediscovering LLM-Generated Campaigns in?Social Media,arly challenge algorithms focused on the temporal analysis of topical clusters. Simple similarity measures can no longer capture and map campaigns that were previously broadly similar in content. Herein, we analyze whether the classification of messages over time can be profitably used to rediscover作者: 蔑視 時間: 2025-3-25 22:17 作者: 共同確定為確 時間: 2025-3-26 04:00
,Coordinated Information Campaigns on?Social Media: A Multifaceted Framework for?Detection and?Analysocial, political, and economic processes. This paper proposes a multifaceted framework for detecting and analyzing coordinated message promotion on social media. By simultaneously considering features related to content, time, and network dimensions, our framework can capture the diverse nature of 作者: ABHOR 時間: 2025-3-26 07:17 作者: assent 時間: 2025-3-26 08:38 作者: intrude 時間: 2025-3-26 16:17 作者: synovial-joint 時間: 2025-3-26 18:03
,ChatGPT as?a?Commenter to?the?News: Can LLMs Generate Human-Like Opinions?,been investigated for a wide variety of tasks. In this research we investigate to what extent GPT-3.5 can generate human-like comments on Dutch news articles. We define human likeness as ‘not distinguishable from human comments’, approximated by the difficulty of automatic classification between hum作者: 總 時間: 2025-3-26 23:12
,Is Foreign Language News More or?Less Credible Than Native Language News? Examining the?Foreign Lana possible effect might be the result of (a) the attenuation of emotional responses in a foreign language and whether (b) it affects individuals depending on their need for cognition. In an online experimental study with N = 134 participants, we presented a news article either in the participants’ n作者: Cryptic 時間: 2025-3-27 03:25
The Commonwealth Of The Bahamas,at classify evidence into binary or multi-class verdicts. However, there are few studies on predicting textual verdicts to explain claims’ credibility. This field focuses on generating a textual verdict to explain a given claim based on a given news article. This paper presents our three-fold contri作者: 殘暴 時間: 2025-3-27 05:37
The Commonwealth Of The Bahamas,ns, marketing strategies, and social activism. Characterized by the promotion of messages via multi-platform coordination, in which multiple user accounts, within a short time, post content advancing a shared informational agenda on multiple platforms, they contribute to an already confusing and man作者: hyperuricemia 時間: 2025-3-27 10:33
El Teatro Espa?ol (Federico García Lorca)r effectiveness. Textual features have shown their potential to help identify fake news in a transparent manner. In this paper, we survey a list of textual features, evaluate their usefulness in predicting fake news by testing them on a real-world dataset, and collect them in a Python library called作者: 信徒 時間: 2025-3-27 16:23 作者: 笨重 時間: 2025-3-27 18:37
The Commonwealth Of The Bahamas,ring that generative artificial intelligence tools are likely to be used either to inform or to disinform, evaluating the (non)human nature of machine-generated content is questioned, especially regarding the ‘hallucination’ phenomenon, which relates to generated content that does not correspond to 作者: mechanical 時間: 2025-3-27 22:28
The Commonwealth Of The Bahamas,arly challenge algorithms focused on the temporal analysis of topical clusters. Simple similarity measures can no longer capture and map campaigns that were previously broadly similar in content. Herein, we analyze whether the classification of messages over time can be profitably used to rediscover作者: 不朽中國 時間: 2025-3-28 04:24
The Commonwealth Of The Bahamas,s during the 2020 election, and we use synthetic controls to examine the causal effect of Twitter’s restrictions on Trump’s tweets in the 2020 presidential election on the spread of misinformation. We find a nuanced set of results. While it is not always the case that Twitter’s actions reduced the s作者: needle 時間: 2025-3-28 08:45 作者: 現(xiàn)任者 時間: 2025-3-28 13:29
The Commonwealth Of The Bahamas,(59%) and Facebook users (54%) rely on these platforms for their day-to-day news consumption, as observed by the PEW Research Center. This reliance extends to other social media platforms like Reddit, YouTube, and TikTok. The increasing dependence on social media for news has significant impacts, pa作者: Myocyte 時間: 2025-3-28 16:55
El Teatro Espa?ol (Federico García Lorca)ts that introduce the misleading information, their supporting media, the nodes they use in social networks, the propaganda techniques they employ and their overall narratives and intentions. Disinformation is a challenge that must be addressed holistically: identifying and describing a disinformati作者: 苦澀 時間: 2025-3-28 20:12
The Commonwealth Of The Bahamas,media platforms, including text, photos, videos, and links, necessitates a multimodal analysis approach. With the emergence of Large Language Models (LLMs), there is now an opportunity to convert image content into textual descriptions, enabling the incorporation of previously text-based methods int作者: 欄桿 時間: 2025-3-29 00:11 作者: Corroborate 時間: 2025-3-29 04:21
El Teatro Espa?ol (Federico García Lorca)a possible effect might be the result of (a) the attenuation of emotional responses in a foreign language and whether (b) it affects individuals depending on their need for cognition. In an online experimental study with N = 134 participants, we presented a news article either in the participants’ n作者: 鐵砧 時間: 2025-3-29 08:40
https://doi.org/10.1007/978-3-031-47896-3artificial intelligence; computer networks; misinformation; computer security; disinformation; correlatio作者: Ordeal 時間: 2025-3-29 15:07 作者: 否決 時間: 2025-3-29 18:26
Disinformation in Open Online Media978-3-031-47896-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: limber 時間: 2025-3-29 19:47
El Teatro Espa?ol (Federico García Lorca)r effectiveness. Textual features have shown their potential to help identify fake news in a transparent manner. In this paper, we survey a list of textual features, evaluate their usefulness in predicting fake news by testing them on a real-world dataset, and collect them in a Python library called “faKy”.作者: CLIFF 時間: 2025-3-30 03:08
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/281340.jpg作者: 植物群 時間: 2025-3-30 05:34
,FaKy: A Feature Extraction Library to?Detect the?Truthfulness of?a?Text,r effectiveness. Textual features have shown their potential to help identify fake news in a transparent manner. In this paper, we survey a list of textual features, evaluate their usefulness in predicting fake news by testing them on a real-world dataset, and collect them in a Python library called “faKy”.作者: 不適當 時間: 2025-3-30 09:48
Generative AI for Explainable Automated Fact Checking on the FactEx: A New Benchmark Dataset,ize on the model performance by conducting a series of experiments on seven different dataset sizes. The findings indicate that our fine-tuned T5-based model outperformed other generative LLMs and Seq2Seq Models with a ROUGE-1 score of about 26.75, making it the selected baseline for this task. Our
