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Slanted news coverage strongly affects public opinion. This is especially true for coverage on politics and related issues, where studies have shown that bias in the news may influence elections and other collective decisions. Due to its…

Computers and Society · Computer Science 2021-10-19 Felix Hamborg , Timo Spinde , Kim Heinser , Karsten Donnay , Bela Gipp

Multi-media increases engagement and is increasingly prevalent in online content including news, web blogs, and social media, however, it may not always be beneficial to users. To determine what types of media users actually wanted, we…

Human-Computer Interaction · Computer Science 2023-04-25 Hayeong Song , Jennifer Healey , Alexa Siu , Curtis Wigington , John Stasko

The manner in which different racial and gender groups are portrayed in news coverage plays a large role in shaping public opinion. As such, understanding how such groups are portrayed in news media is of notable societal value, and has…

Computers and Society · Computer Science 2024-11-01 Hazem Ibrahim , Nouar AlDahoul , Syed Mustafa Ali Abbasi , Fareed Zaffar , Talal Rahwan , Yasir Zaki

There are many potential benefits to news readers accessing diverse sources. Modern news aggregators do the hard work of organizing the news, offering readers a plethora of source options, but choosing which source to read remains…

Computation and Language · Computer Science 2022-11-10 Philippe Laban , Chien-Sheng Wu , Lidiya Murakhovs'ka , Xiang 'Anthony' Chen , Caiming Xiong

Social media is increasingly being used as a news-platform. To reach their intended audience, newspapers need for their articles to be well ranked by Facebook's news-feed algorithm. The number of likes, shares and other reactions determine…

Computers and Society · Computer Science 2019-11-01 Marc Faddoul

In this era of fake news and political polarization, it is desirable to have a system to enable users to access balanced news content. Current solutions focus on top down, server based approaches to decide whether a news article is fake or…

Information Retrieval · Computer Science 2018-03-12 Anish Anil Patankar , Joy Bose , Harshit Khanna

In Twitter, and other microblogging services, the generation of new content by the crowd is often biased towards immediacy: what is happening now. Prompted by the propagation of commentary and information through multiple mediums, users on…

Information Retrieval · Computer Science 2016-02-10 Flávio Martins , João Magalhães , Jamie Callan

Query suggestion refers to the task of suggesting relevant and related queries to a search engine user to help in query formulation process and to expedite information retrieval with minimum amount of effort. It is highly useful in…

Information Retrieval · Computer Science 2022-01-14 Sachin , Dhaval Patel

A ranking is an ordered sequence of items, in which an item with higher ranking score is more preferred than the items with lower ranking scores. In many information systems, rankings are widely used to represent the preferences over a set…

Artificial Intelligence · Computer Science 2017-09-22 Zhiwei Lin , Yi Li , Xiaolian Guo

The rank of a journal based on simple citation information is a popular measure. The simplicity and availability of rankings such as Impact Factor, Eigenfactor and SciMago Journal Rank based on trusted commercial sources ensures their…

Digital Libraries · Computer Science 2015-07-03 Tamar V. Loach , Tim S. Evans

Practical news feed platforms generate a hybrid list of news articles and advertising items (e.g., products, services, or information) and many platforms optimize the position of news articles and advertisements independently. However, they…

Information Retrieval · Computer Science 2023-06-06 Kojiro Iizuka , Yoshifumi Seki , Makoto P. Kato

Personalized news recommendation methods are widely used in online news services. These methods usually recommend news based on the matching between news content and user interest inferred from historical behaviors. However, these methods…

Information Retrieval · Computer Science 2021-06-11 Tao Qi , Fangzhao Wu , Chuhan Wu , Yongfeng Huang

The existing search engines sometimes give unsatisfactory search result for lack of any categorization of search result. If there is some means to know the preference of user about the search result and rank pages according to that…

Information Retrieval · Computer Science 2011-02-04 Debajyoti Mukhopadhyay , Pradipta Biswas , Young-Chon Kim

News recommendation aims to match news with personalized user interest. Existing methods for news recommendation usually model user interest from historical clicked news without the consideration of candidate news. However, each user…

Information Retrieval · Computer Science 2022-04-12 Tao Qi , Fangzhao Wu , Chuhan Wu , Yongfeng Huang

Online news outlets are grappling with the moderation of user-generated content within their comment section. We present a recommender system based on ranking class probabilities to support and empower the moderator in choosing featured…

Information Retrieval · Computer Science 2023-07-17 Cedric Waterschoot , Antal van den Bosch

This paper aims to review the fiercely discussed question of whether the ranking of Wikipedia articles in search engines is justified by the quality of the articles. After an overview of current research on information quality in Wikipedia,…

Information Retrieval · Computer Science 2011-09-06 Dirk Lewandowski , Ulrike Spree

Online social media provide multiple ways to find interesting content. One important method is highlighting content recommended by user's friends. We examine this process on one such site, the news aggregator Digg. With a stochastic model…

Computers and Society · Computer Science 2012-02-02 Tad Hogg , Kristina Lerman

We study the problem of finding fake online news. This is an important problem as news of questionable credibility have recently been proliferating in social media at an alarming scale. As this is an understudied problem, especially for…

Computation and Language · Computer Science 2019-11-20 Momchil Hardalov , Ivan Koychev , Preslav Nakov

Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the…

Social and Information Networks · Computer Science 2018-03-07 Luca de Alfaro , Massimo Di Pierro , Rakshit Agrawal , Eugenio Tacchini , Gabriele Ballarin , Marco L. Della Vedova , Stefano Moret

With the continuous increase of internet usage in todays time, everyone is influenced by this source of the power of technology. Due to this, the rise of applications and games Is unstoppable. A major percentage of our population uses these…

Information Retrieval · Computer Science 2022-11-22 Vandit Gupta , Akshit Diwan , Chaitanya Chadha , Ashish Khanna , Deepak Gupta