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While social networks can provide an ideal platform for up-to-date information from individuals across the world, it has also proved to be a place where rumours fester and accidental or deliberate misinformation often emerges. In this…

Social networking and micro-blogging services, such as Twitter, play an important role in sharing digital information. Despite the popularity and usefulness of social media, there have been many instances where corrupted users found ways to…

社会与信息网络 · 计算机科学 2021-07-23 Tanveer Khan , Antonis Michalas

Online social networks serve as major platforms for disseminating both real and fake news. Many users--intentionally or unintentionally--spread harmful content, misinformation, and rumors in domains such as politics and business.…

社会与信息网络 · 计算机科学 2025-10-17 Mohammad Moradi , Mostafa Haghir Chehreghani

Veracity of data posted on the microblog platforms has in recent years been a subject of intensive study by professionals specializing in various fields of informatics as well as sociology, particularly in the light of increasing importance…

社会与信息网络 · 计算机科学 2021-01-20 Majed Alrubaian , Muhammad Al-Qurishi , Sherif Omar , Mohamed A. Mostafa

Social networking and micro-blogging services, such as Twitter, play an important role in sharing digital information. Despite the popularity and usefulness of social media, they are regularly abused by corrupt users. One of these nefarious…

社会与信息网络 · 计算机科学 2022-10-28 Tanveer Khan , Antonis Michalas

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…

社会与信息网络 · 计算机科学 2023-09-20 Giulio Corsi

In the Social Web scenario, large amounts of User-Generated Content (UGC) are diffused through social media often without almost any form of traditional trusted intermediaries. Therefore, the risk of running into misinformation is not…

计算机与社会 · 计算机科学 2020-01-28 Gabriella Pasi , Marco Viviani

Online Social Media represent a pervasive source of information able to reach a huge audience. Sadly, recent studies show how online social bots (automated, often malicious accounts, populating social networks and mimicking genuine users)…

社会与信息网络 · 计算机科学 2019-09-10 Alessandro Balestrucci , Rocco De Nicola , Marinella Petrocchi , Catia Trubiani

The increasing popularity of Twitter and other microblogs makes improved trustworthiness and relevance assessment of microblogs evermore important. We propose a method of ranking of tweets considering trustworthiness and content based…

社会与信息网络 · 计算机科学 2012-04-03 Srijith Ravikumar , Raju Balakrishnan , Subbarao Kambhampati

While Twitter provides an unprecedented opportunity to learn about breaking news and current events as they happen, it often produces skepticism among users as not all the information is accurate but also hoaxes are sometimes spread. While…

社会与信息网络 · 计算机科学 2013-12-31 Arkaitz Zubiaga , Heng Ji

Background: Tools used to appraise the credibility of health information are time-consuming to apply and require context-specific expertise, limiting their use for quickly identifying and mitigating the spread of misinformation as it…

社会与信息网络 · 计算机科学 2021-02-19 Zubair Shah , Didi Surian , Amalie Dyda , Enrico Coiera , Kenneth D. Mandl , Adam G. Dunn

This project addresses the problem of sentiment analysis in twitter; that is classifying tweets according to the sentiment expressed in them: positive, negative or neutral. Twitter is an online micro-blogging and social-networking platform…

计算与语言 · 计算机科学 2015-09-15 Afroze Ibrahim Baqapuri

Twitter has become one of the main sources of news for many people. As real-world events and emergencies unfold, Twitter is abuzz with hundreds of thousands of stories about the events. Some of these stories are harmless, while others could…

社会与信息网络 · 计算机科学 2016-06-21 Soroush Vosoughi , Deb Roy

Social media posts may go viral and reach large numbers of people within a short period of time. Such posts may threaten the public dialogue if they contain misleading content, making their early detection highly crucial. Previous works…

社会与信息网络 · 计算机科学 2023-03-14 Tuğrulcan Elmas , Stephane Selim , Célia Houssiaux

Information quality in social media is an increasingly important issue, but web-scale data hinders experts' ability to assess and correct much of the inaccurate content, or `fake news,' present in these platforms. This paper develops a…

社会与信息网络 · 计算机科学 2018-06-01 Cody Buntain , Jennifer Golbeck

Social media include diverse interaction metrics related to user popularity, the most evident example being the number of user followers. The latter has raised concerns about the credibility of the posts by the most popular creators.…

We present a data-driven method for determining the veracity of a set of rumorous claims on social media data. Tweets from different sources pertaining to a rumor are processed on three levels: first, factuality values are assigned to each…

计算与语言 · 计算机科学 2017-07-12 Uwe D. Reichel , Piroska Lendvai

The increasing popularity of Twitter renders improved trustworthiness and relevance assessment of tweets much more important for search. However, given the limitations on the size of tweets, it is hard to extract measures for ranking from…

信息检索 · 计算机科学 2013-08-13 Srijith Ravikumar , Kartik Talamadupula , Raju Balakrishnan , Subbarao Kambhampati

As breaking news unfolds people increasingly rely on social media to stay abreast of the latest updates. The use of social media in such situations comes with the caveat that new information being released piecemeal may encourage rumours,…

社会与信息网络 · 计算机科学 2016-04-27 Arkaitz Zubiaga , Maria Liakata , Rob Procter , Geraldine Wong Sak Hoi , Peter Tolmie

Thanks to platforms such as Twitter and Facebook, people can know facts and events that otherwise would have been silenced. However, social media significantly contribute also to fast spreading biased and false news while targeting specific…

社会与信息网络 · 计算机科学 2025-11-05 Alessandro Balestrucci , Rocco De Nicola , Marinella Petrocchi , Catia Trubiani
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