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20162026
most citedQuantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media

147 citations · 405 across the 25 of their papers we have counts for

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8 papers · 1 filter

cs.SI2018★ 94 cited

On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook

Filipe N. Ribeiro, Koustuv Saha, Mahmoudreza Babaei +6

Targeted advertising is meant to improve the efficiency of matching advertisers to their customers. However, targeted advertising can also be abused by malicious advertisers to eff…

cs.SI2018

Characterizing Interconnections and Linguistic Patterns in Twitter

Johnnatan Messias

Social media is considered a democratic space in which people connect and interact with each other regardless of their gender, race, or any other demographic aspect. Despite numero…

cs.SI2017★ 42 cited

White, Man, and Highly Followed: Gender and Race Inequalities in Twitter

Johnnatan Messias, Pantelis Vikatos, Fabricio Benevenuto

Social media is considered a democratic space in which people connect and interact with each other regardless of their gender, race, or any other demographic factor. Despite numero…

cs.SI2017★ 24 cited

Demographics of News Sharing in the U.S. Twittersphere

Julio C. S. Reis, Haewoon Kwak, Jisun An +2

The widespread adoption and dissemination of online news through social media systems have been revolutionizing many segments of our society and ultimately our daily lives. In thes…

cs.SI2017★ 16 cited

Linguistic Diversities of Demographic Groups in Twitter

Pantelis Vikatos, Johnnatan Messias, Manoel Miranda +1

The massive popularity of online social media provides a unique opportunity for researchers to study the linguistic characteristics and patterns of user's interactions. In this pap…

cs.SI2017★ 147 cited

Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media

Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias +4

Search systems in online social media sites are frequently used to find information about ongoing events and people. For topics with multiple competing perspectives, such as politi…

cs.SI2017★ 40 cited

Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations

Abhijnan Chakraborty, Johnnatan Messias, Fabricio Benevenuto +3

Users of social media sites like Facebook and Twitter rely on crowdsourced content recommendation systems (e.g., Trending Topics) to retrieve important and useful information. Cont…

cs.SI2016

From Migration Corridors to Clusters: The Value of Google+ Data for Migration Studies

Johnnatan Messias, Fabricio Benevenuto, Ingmar Weber +1

Recently, there have been considerable efforts to use online data to investigate international migration. These efforts show that Web data are valuable for estimating migration rat…