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Social media platforms allow users to create polls to gather public opinion on diverse topics. However, we know little about what such polls are used for and how reliable they are, especially in significant contexts like elections. Focusing…

Social and Information Networks · Computer Science 2025-06-11 Stephen Scarano , Vijayalakshmi Vasudevan , Mattia Samory , Kai-Cheng Yang , JungHwan Yang , Przemyslaw A. Grabowicz

Political advertising on social media has become a central element in election campaigns. However, granular information about political advertising on social media was previously unavailable, thus raising concerns regarding fairness,…

Social and Information Networks · Computer Science 2024-06-25 Dominik Bär , Francesco Pierri , Gianmarco De Francisci Morales , Stefan Feuerriegel

In this work, we aim to investigate the impact of location (different countries) on bias in search results. For this, we use the search results of Google and Bing in the UK and US locations. The query set is composed of controversial…

Information Retrieval · Computer Science 2022-06-24 Gizem Gezici

Political polarization appears to be on the rise, as measured by voting behavior, general affect towards opposing partisans and their parties, and contents posted and consumed online. Research over the years has focused on the role of the…

Social and Information Networks · Computer Science 2021-04-15 Kiran Garimella , Tim Smith , Rebecca Weiss , Robert West

Twitter is increasingly used for political, advertising and marketing campaigns, where the main aim is to influence users to support specific causes, individuals or groups. We propose a novel methodology for mining and analyzing Twitter…

Social and Information Networks · Computer Science 2020-11-24 Shanika Karunasekera , Kwan Hui Lim , Aaron Harwood

In recent years, critics of online platforms have raised concerns about the ability of recommendation algorithms to amplify problematic content, with potentially radicalizing consequences. However, attempts to evaluate the effect of…

Social and Information Networks · Computer Science 2023-12-04 Homa Hosseinmardi , Amir Ghasemian , Miguel Rivera-Lanas , Manoel Horta Ribeiro , Robert West , Duncan J. Watts

Search engines have become key media for our scientific, economic, and social activities by enabling people to access information on the Web in spite of its size and complexity. On the down side, search engines bias the traffic of users…

Computers and Society · Computer Science 2009-02-19 Santo Fortunato , Alessandro Flammini , Filippo Menczer , Alessandro Vespignani

Today, our more-than-ever digital lives leave significant footprints in cyberspace. Large scale collections of these socially generated footprints, often known as big data, could help us to re-investigate different aspects of our social…

Physics and Society · Physics 2023-01-05 Taha Yasseri , Jonathan Bright

Email services use spam filtering algorithms (SFAs) to filter emails that are unwanted by the user. However, at times, the emails perceived by an SFA as unwanted may be important to the user. Such incorrect decisions can have significant…

Computers and Society · Computer Science 2022-04-01 Hassan Iqbal , Usman Mahmood Khan , Hassan Ali Khan , Muhammad Shahzad

Conversational AI systems are increasingly being used in place of traditional search engines to help users complete information-seeking tasks. This has raised concerns in the political domain, where biased or hallucinated outputs could…

The coronavirus pandemic is impacting our lives at unprecedented speed and scale - including how we eat and work, what we worry about, how much we move, and our ability to earn. Google Trends can be used as a proxy for what people are…

Computers and Society · Computer Science 2020-05-07 Tichakunda Mangono , Peter Smittenaar , Yael Caplan , Vincent S. Huang , Staci Sutermaster , Hannah Kemp , Sema K. Sgaier

Search bias analysis is getting more attention in recent years since search results could affect In this work, we aim to establish an automated model for evaluating ideological bias in online news articles. The dataset is composed of news…

Information Retrieval · Computer Science 2022-10-10 Gizem Gezici

Search engines decide what we see for a given search query. Since many people are exposed to information through search engines, it is fair to expect that search engines are neutral. However, search engine results do not necessarily cover…

Information Retrieval · Computer Science 2023-02-07 Gizem Gezici , Aldo Lipani , Yucel Saygin , Emine Yilmaz

Personalization despite being an effective solution to the problem information overload remains tricky on account of multiple dimensions to consider. Furthermore, the challenge of avoiding overdoing personalization involves estimation of a…

Information Retrieval · Computer Science 2017-11-09 Arjumand Younus , Muhammad Atif Qureshi

Social media are decentralized, interactive, and transformative, empowering users to produce and spread information to influence others. This has changed the dynamics of political communication that were previously dominated by traditional…

Information is crucial to the function of a democratic society where well-informed citizens can make rational political decisions. While in the past political entities were primarily utilizing newspaper and later television to inform the…

Social and Information Networks · Computer Science 2020-09-22 Aaron Brookhouse , Tyler Derr , Hamid Karimi , H. Russell Bernard , Jiliang Tang

Search engines can be considered as a gate to the world of WEB, and they also decide what we see for a given search query. Since many people are exposed to information through search engines, it is fair to expect that search engines should…

Information Retrieval · Computer Science 2021-12-28 Gizem Gezici

Web search engines have become the dominant tools for finding information on the Internet. Due to their popularity, users apply them to a wide range of search needs, from simple look-ups to rather complex information tasks. This paper…

Information Retrieval · Computer Science 2012-07-05 Georg Singer , Ulrich Norbisrath , Dirk Lewandowski

Recent research has shown that the performance of search personalization depends on the richness of user profiles which normally represent the user's topical interests. In this paper, we propose a new embedding approach to learning user…

Information Retrieval · Computer Science 2017-08-10 Thanh Vu , Dat Quoc Nguyen , Mark Johnson , Dawei Song , Alistair Willis

People use search engines to find answers to questions related to their health, finances, or other socially relevant issues. However, most users are unaware that search results are considerably influenced by search engine marketing (SEM).…

Information Retrieval · Computer Science 2023-01-25 Sebastian Schultheiß