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20082024
most citedComparing and Combining Sentiment Analysis Methods

376 citations · 1k across the 35 of their papers we have counts for

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Showing 2017Show all

8 papers · 1 filter

cs.DL2017

Building the Brazilian Academic Genealogy Tree

Wellington Dores, Elias Soares, Fabrício Benevenuto +1

Along the history, many researchers provided remarkable contributions to science, not only advancing knowledge but also in terms of mentoring new scientists. Currently, identifying…

cs.CL2017

10Sent: A Stable Sentiment Analysis Method Based on the Combination of Off-The-Shelf Approaches

Philipe F. Melo, Daniel H. Dalip, Manoel M. Junior +2

Sentiment analysis has become a very important tool for analysis of social media data. There are several methods developed for this research field, many of them working very differ…

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.CY2017★ 24 cited

Using Facebook Ads Audiences for Global Lifestyle Disease Surveillance: Promises and Limitations

Matheus Araujo, Yelena Mejova, Ingmar Weber +1

Every day, millions of users reveal their interests on Facebook, which are then monetized via targeted advertisement marketing campaigns. In this paper, we explore the use of demog…

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★ 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.SI2017

The Emergence of Crowdsourcing among Pokémon Go Players

Priscila Martins, Manoel Miranda, Fabrício Benevenuto +1

Since its launching, Pok{é}mon Go has been pointed as the largest gaming phenomenon of the smartphone age. As the game requires the user to walk in the real world to see and captur…