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ORCIDFabrício Benevenuto
Fabrício Benevenuto de Souza
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- affiliation: Federal University of Minas Gerais
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2020 – today
- 2023
[c117]Samuel S. Guimarães, Gabriel Kakizaki
, Philipe F. Melo, Márcio Silva, Fabricio Murai, Julio C. S. Reis, Fabrício Benevenuto:
Anatomy of Hate Speech Datasets: Composition Analysis and Cross-dataset Classification. HT 2023: 33:1-33:11- [c116]Shaoyi Liaw, Fan Huang, Fabrício Benevenuto, Haewoon Kwak, Jisun An:
YouNICon: YouTube's CommuNIty of Conspiracy Videos. ICWSM 2023: 1102-1111 - [c115]Mohamad Hoseini, Philipe F. Melo, Fabrício Benevenuto, Anja Feldmann, Savvas Zannettou:
On the Globalization of the QAnon Conspiracy Theory Through Telegram. WebSci 2023: 75-85 - [i39]Francielle Alves Vargas, Fabiana Rodrigues de Góes, Thiago A. S. Pardo, Fabrício Benevenuto:
Factual or Biased? Predicting Sentence-Level Factuality and Bias of News. CoRR abs/2301.11850 (2023) - [i38]Shaoyi Liaw, Fan Huang, Fabrício Benevenuto, Haewoon Kwak, Jisun An:
YouNICon: YouTube's CommuNIty of Conspiracy Videos. CoRR abs/2304.05274 (2023) - [i37]Julio C. S. Reis, Philipe F. Melo, Fabiano Belém, Fabricio Murai, Jussara M. Almeida, Fabrício Benevenuto:
Helping Fact-Checkers Identify Fake News Stories Shared through Images on WhatsApp. CoRR abs/2308.14782 (2023) - 2022
- [j31]Igor Marques, Isadora Salles, João M. M. Couto, Breno C. Pimenta, Samuel Assis, Julio C. S. Reis, Ana Paula Couto da Silva, Jussara Marques de Almeida, Fabrício Benevenuto:
A Comprehensive Dataset of Brazilian Fact-Checking Stories. J. Inf. Data Manag. 13(1) (2022) - [c114]João M. M. Couto, Julio C. S. Reis, Ítalo Cunha, Leandro Araújo, Fabrício Benevenuto:
Characterizing Low Credibility Websites in Brazil through Computer Networking Attributes. ASONAM 2022: 42-46 - [c113]Emanuelle Azevedo Martins, Isadora Salles, Fabrício Benevenuto, Olga Goussevskaia:
Characterizing Sponsored Content in Facebook and Instagram. HT 2022: 52-63 - [c112]Gabriel Luis Santos Freire, Tales Panoutsos, Lucas Perez, Fabrício Benevenuto, Flavio V. D. de Figueiredo:
Understanding Effects of Moderation and Migration on Online Video Sharing Platforms. HT 2022: 220-224 - [c111]Marcelo M. R. Araújo, Samuel S. Guimarães, Márcio Silva, Josemar Caetano, Jonatas Santos, Julio C. S. Reis, Ana P. C. Silva, Fabrício Benevenuto, Jussara M. Almeida:
EarlyAd: A System for Real-Time Surveillance of Brazilian Early Electoral Ads on Twitter. HT 2022: 225-227 - [c110]Manoel Júnior, Philipe F. Melo, Daniel Kansaon, Vitor Mafra, Kaio Sá, Fabrício Benevenuto:
Telegram Monitor: Monitoring Brazilian Political Groups and Channels on Telegram. HT 2022: 228-231 - [c109]Manoel Horta Ribeiro, Savvas Zannettou, Oana Goga, Fabrício Benevenuto, Robert West:
Can online attention signals help fact-checkers to fact-check? ICWSM Workshops 2022 - [c108]Francielle Alves Vargas, Jonas D'Alessandro, Zohar Rabinovich, Fabrício Benevenuto, Thiago A. S. Pardo:
Rhetorical Structure Approach for Online Deception Detection: A Survey. LREC 2022: 5906-5915 - [c107]Francielle Alves Vargas, Isabelle Carvalho, Fabiana Rodrigues de Góes, Thiago A. S. Pardo, Fabrício Benevenuto:
HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection. LREC 2022: 7174-7183 - [c106]João M. M. Couto, Isadora Salles, Breno C. Pimenta, Samuel Assis, Leandro Araújo Silva, Julio C. S. Reis, Fabrício Benevenuto:
Detecção Automática de Desinformação Relacionada à Covid-19 no Brasil. SBBD 2022: 164-176 - [c105]Leandro Araújo, Luiz Felipe Nery, Isadora C. Rodrigues, João M. M. Couto, Julio C. S. Reis, Ana P. C. Silva, Jussara M. Almeida, Fabrício Benevenuto:
Identificando Websites de Desinformação no Brasil. SBBD 2022: 355-360 - [c104]Josemar Caetano, Samuel S. Guimarães, Marcelo M. R. Araújo, Márcio Silva, Julio C. S. Reis, Ana P. C. Silva, Fabrício Benevenuto, Jussara M. Almeida:
Characterizing Early Electoral Advertisements on Twitter: A Brazilian Case Study. SocInfo 2022: 257-272 - [c103]Érica Verônica Pereira, Philipe F. Melo, Manoel Júnior, Vitor O. Mafra, Julio C. S. Reis, Fabrício Benevenuto:
Analyzing YouTube Videos Shared on WhatsApp and Telegram Political Public Groups. WebMedia 2022: 28-37 - [c102]Cora Silberschneider, Samuel S. Guimarães, Fabrício Benevenuto, Márcio Silva:
Characterizing Brazilian Political Ads on Facebook. WebMedia 2022: 47-54 - [c101]Daniel Pimentel Kansaon, Philipe de Freitas Melo, Fabrício Benevenuto:
"Click Here to Join": A Large-Scale Analysis of Topics Discussed by Brazilian Public Groups on WhatsApp. WebMedia 2022: 55-65 - [c100]Lucas Santos de Oliveira, Wesley Costa, Pedro Olmo Stancioli Vaz de Melo, Fabrício Benevenuto:
How Politicians Communicate in Social Media: A Cross-Platform Study. WebMedia 2022: 75-83 - [i36]Manoel Júnior, Philipe F. Melo, Daniel Kansaon, Vitor Mafra, Kaio Sá, Fabrício Benevenuto:
Telegram Monitor: Monitoring Brazilian Political Groups and Channels on Telegram. CoRR abs/2202.04737 (2022) - [i35]Henrique S. Assumpção, Fabrício Benevenuto de Souza, Leandro Lacerda Campos, Vinícius T. de Castro Pires, Paulo M. Laurentys de Almeida, Fabricio Murai:
Delator: Automatic Detection of Money Laundering Evidence on Transaction Graphs via Neural Networks. CoRR abs/2205.10293 (2022) - 2021
- [j30]Samuel S. Guimarães, Julio C. S. Reis, Marisa Vasconcelos, Fabrício Benevenuto:
Characterizing political bias and comments associated with news on Brazilian Facebook. Soc. Netw. Anal. Min. 11(1): 94 (2021) - [c99]Francielle Alves Vargas, Fabiana Rodrigues de Góes, Isabelle Carvalho, Fabrício Benevenuto, Thiago A. S. Pardo:
Contextual-Lexicon Approach for Abusive Language Detection. RANLP 2021: 1438-1447 - [c98]Márcio Silva, Fabrício Benevenuto:
COVID-19 ads as political weapon. SAC 2021: 1705-1710 - [c97]Manoel Junior, Philipe F. Melo, Ana Paula Couto da Silva, Fabrício Benevenuto, Jussara M. Almeida:
Towards Understanding the Use of Telegram by Political Groups in Brazil. WebMedia 2021: 237-244 - [c96]Julio C. S. Reis, Fabrício Benevenuto:
Supervised Learning for Misinformation Detection in WhatsApp. WebMedia 2021: 245-252 - [i34]Lucas Henrique Costa de Lima, Julio C. S. Reis, Philipe F. Melo, Fabricio Murai, Fabrício Benevenuto:
Characterizing (Un)moderated Textual Data in Social Systems. CoRR abs/2101.00963 (2021) - [i33]Francielle Alves Vargas, Isabelle Carvalho, Fabiana Rodrigues de Góes, Fabrício Benevenuto, Thiago Alexandre Salgueiro Pardo:
Annotating Hate and Offenses on Social Media. CoRR abs/2103.14972 (2021) - [i32]Francielle Alves Vargas, Fabiana Rodrigues de Góes, Isabelle Carvalho, Fabrício Benevenuto, Thiago Alexandre Salgueiro Pardo:
Contextual Lexicon-Based Approach for Hate Speech and Offensive Language Detection. CoRR abs/2104.12265 (2021) - [i31]Mohamad Hoseini, Philipe F. Melo, Fabrício Benevenuto, Anja Feldmann, Savvas Zannettou:
On the Globalization of the QAnon Conspiracy Theory Through Telegram. CoRR abs/2105.13020 (2021) - [i30]Manoel Horta Ribeiro, Savvas Zannettou, Oana Goga, Fabrício Benevenuto, Robert West:
What do fact checkers fact-check when? CoRR abs/2109.09322 (2021) - 2020
- [j29]Matheus Araújo, Adriano C. M. Pereira, Fabrício Benevenuto:
A comparative study of machine translation for multilingual sentence-level sentiment analysis. Inf. Sci. 512: 1078-1102 (2020) - [j28]Gustavo Santos, Vinícius F. S. Mota, Fabrício Benevenuto, Thiago Henrique Silva:
Neutrality may matter: sentiment analysis in reviews of Airbnb, Booking, and Couchsurfing in Brazil and USA. Soc. Netw. Anal. Min. 10(1): 45 (2020) - [c95]Lucas Lima, Julio C. S. Reis, Philipe F. Melo, Fabricio Murai, Fabrício Benevenuto:
Characterizing (Un)moderated Textual Data in Social Systems. ASONAM 2020: 430-434 - [c94]Samuel S. Guimarães, Julio C. S. Reis, Lucas Henrique C. Lima, Filipe N. Ribeiro, Marisa Vasconcelos, Jisun An, Haewoon Kwak, Fabrício Benevenuto:
Identifying and Characterizing Alternative News Media on Facebook. ASONAM 2020: 448-452 - [c93]Mainack Mondal, Denzil Correa, Fabrício Benevenuto:
Anonymity Effects: A Large-Scale Dataset from an Anonymous Social Media Platform. HT 2020: 69-74 - [c92]Flavio V. D. de Figueiredo, Felipe Giori, Guilherme Soares, Mariana Arantes, Jussara M. Almeida, Fabrício Benevenuto:
Understanding Targeted Video-Ads in Children's Content. HT 2020: 151-160 - [c91]Julio C. S. Reis, Philipe F. Melo, Kiran Garimella, Jussara M. Almeida, Dean Eckles, Fabrício Benevenuto:
A Dataset of Fact-Checked Images Shared on WhatsApp During the Brazilian and Indian Elections. ICWSM 2020: 903-908 - [c90]Mohamad Hoseini, Philipe F. Melo, Manoel Junior, Fabrício Benevenuto, Balakrishnan Chandrasekaran, Anja Feldmann, Savvas Zannettou:
Demystifying the Messaging Platforms' Ecosystem Through the Lens of Twitter. Internet Measurement Conference 2020: 345-359 - [c89]Márcio Silva, Fabrício Benevenuto:
Analyzing the Use of COVID-19 Ads on Facebook. WebMedia 2020: 21-24 - [c88]Marisa Vasconcelos, Erica Pereira, Samuel S. Guimarães, Manoel Horta Ribeiro, Philipe F. Melo, Fabrício Benevenuto:
Analyzing YouTube Videos Shared on Whatsapp in the Early COVID-19 Crisis. WebMedia 2020: 25-28 - [c87]Samuel S. Guimarães, Julio C. S. Reis, Filipe N. Ribeiro, Fabrício Benevenuto:
Characterizing Toxicity on Facebook Comments in Brazil. WebMedia 2020: 253-260 - [c86]Daniel Kansaon, Michele A. Brandão, Julio C. S. Reis, Matheus Barbosa, Breno de Sousa Matos, Fabrício Benevenuto:
Mining Portuguese Comparative Sentences in Online Reviews. WebMedia 2020: 333-340 - [c85]Filipe N. Ribeiro, Fabrício Benevenuto, Emilio Zagheni:
How Biased is the Population of Facebook Users? Comparing the Demographics of Facebook Users with Census Data to Generate Correction Factors. WebSci 2020: 325-334 - [c84]Márcio Silva, Lucas Santos de Oliveira, Athanasios Andreou, Pedro Olmo Stancioli Vaz de Melo, Oana Goga, Fabrício Benevenuto:
Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook. WWW 2020: 224-234 - [c83]Alexandre Maros, Jussara M. Almeida, Fabrício Benevenuto, Marisa Vasconcelos:
Analyzing the Use of Audio Messages in WhatsApp Groups. WWW 2020: 3005-3011 - [c82]Carolina Coimbra Vieira, Filipe Ribeiro, Pedro Olmo Stancioli Vaz de Melo, Fabrício Benevenuto, Emilio Zagheni:
Using Facebook Data to Measure Cultural Distance between Countries: The Case of Brazilian Cuisine. WWW 2020: 3091-3097 - [i29]Márcio Silva, Lucas Santos de Oliveira, Athanasios Andreou, Pedro Olmo Stancioli Vaz de Melo, Oana Goga, Fabrício Benevenuto:
Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook. CoRR abs/2001.10581 (2020) - [i28]Julio C. S. Reis, Philipe de Freitas Melo, Kiran Garimella, Jussara M. Almeida, Dean Eckles, Fabrício Benevenuto:
A Dataset of Fact-Checked Images Shared on WhatsApp During the Brazilian and Indian Elections. CoRR abs/2005.02443 (2020) - [i27]Gustavo Santos, Vinícius F. S. Mota, Fabrício Benevenuto, Thiago Henrique Silva:
Neutrality May Matter: Sentiment Analysis in Reviews of Airbnb, Booking, and Couchsurfing in Brazil and USA. CoRR abs/2005.06591 (2020) - [i26]Filipe N. Ribeiro, Fabrício Benevenuto, Emilio Zagheni:
How Biased is the Population of Facebook Users? Comparing the Demographics of Facebook Users with Census Data to Generate Correction Factors. CoRR abs/2005.08065 (2020) - [i25]Julio C. S. Reis, Philipe de Freitas Melo, Kiran Garimella, Fabrício Benevenuto:
Detecting Misinformation on WhatsApp without Breaking Encryption. CoRR abs/2006.02471 (2020)
2010 – 2019
- 2019
- [j27]Thiago Henrique Silva, Aline Carneiro Viana, Fabrício Benevenuto, Leandro Villas, Juliana F. S. Salles, Antonio A. F. Loureiro, Daniele Quercia:
Urban Computing Leveraging Location-Based Social Network Data: A Survey. ACM Comput. Surv. 52(1): 17:1-17:39 (2019) - [j26]Julio C. S. Reis, André Correia, Fabricio Murai, Adriano Veloso, Fabrício Benevenuto, Erik Cambria:
Supervised Learning for Fake News Detection. IEEE Intell. Syst. 34(2): 76-81 (2019) - [j25]Philipe F. Melo, Daniel Hasan Dalip, Manoel M. Junior, Marcos André Gonçalves, Fabrício Benevenuto:
10SENT: A stable sentiment analysis method based on the combination of off-the-shelf approaches. J. Assoc. Inf. Sci. Technol. 70(3): 242-255 (2019) - [j24]Moisés H. R. Pereira, Flávio L. C. Pádua, Daniel Hasan Dalip, Fabrício Benevenuto, Adriano C. M. Pereira, Anísio M. Lacerda:
Multimodal approach for tension levels estimation in news videos. Multim. Tools Appl. 78(16): 23783-23808 (2019) - [c81]Philipe de Freitas Melo, Carolina Coimbra Vieira, Kiran Garimella, Pedro O. S. Vaz de Melo, Fabrício Benevenuto:
Can WhatsApp Counter Misinformation by Limiting Message Forwarding? COMPLEX NETWORKS (1) 2019: 372-384 - [c80]Filipe Nunes Ribeiro, Koustuv Saha, Mahmoudreza Babaei, Lucas Henrique C. Lima, Johnnatan Messias, Fabrício Benevenuto, Oana Goga, Krishna P. Gummadi, Elissa M. Redmiles:
On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook. FAT 2019: 140-149 - [c79]Philipe F. Melo, Johnnatan Messias, Gustavo Resende, Kiran Garimella, Jussara M. Almeida, Fabrício Benevenuto:
WhatsApp Monitor: A Fact-Checking System for WhatsApp. ICWSM 2019: 676-677 - [c78]Athanasios Andreou, Márcio Silva, Fabrício Benevenuto, Oana Goga, Patrick Loiseau, Alan Mislove:
Measuring the Facebook Advertising Ecosystem. NDSS 2019 - [c77]Felipe Giori, Flavio V. D. de Figueiredo, Guilherme Soares, Jussara M. Almeida, Fabrício Benevenuto:
Analisando o Uso de uma Grande Rede de Streaming de Vídeos na Divulgação de Conteúdo Político. SBRC 2019: 377-390 - [c76]Carolina Coimbra Vieira, Philipe de Freitas Melo, Pedro Olmo Stancioli Vaz de Melo, Fabrício Benevenuto:
O Paradoxo da Viralização de Informação Criptografada no WhatsApp. SBRC 2019: 403-416 - [c75]Filipe N. Ribeiro, Daniel Kansaon, Fabrício Benevenuto:
Leveraging the Facebook ads platform for election polling. WebMedia 2019: 305-312 - [c74]Julio C. S. Reis, André Correia, Fabricio Murai, Adriano Veloso, Fabrício Benevenuto:
Explainable Machine Learning for Fake News Detection. WebSci 2019: 17-26 - [c73]Gustavo Resende, Philipe F. Melo, Julio C. S. Reis, Marisa Vasconcelos, Jussara M. Almeida, Fabrício Benevenuto:
Analyzing Textual (Mis)Information Shared in WhatsApp Groups. WebSci 2019: 225-234 - [c72]Gustavo Resende, Philipe F. Melo, Hugo Sousa, Johnnatan Messias, Marisa Vasconcelos, Jussara M. Almeida, Fabrício Benevenuto:
(Mis)Information Dissemination in WhatsApp: Gathering, Analyzing and Countermeasures. WWW 2019: 818-828 - [i24]Philipe de Freitas Melo, Carolina Coimbra Vieira, Kiran Garimella, Pedro O. S. Vaz de Melo, Fabrício Benevenuto:
Can WhatsApp Counter Misinformation by Limiting Message Forwarding? CoRR abs/1909.08740 (2019) - 2018
- [j23]Mainack Mondal, Leandro Araújo Silva, Denzil Correa, Fabrício Benevenuto:
Characterizing usage of explicit hate expressions in social media. New Rev. Hypermedia Multim. 24(2): 110-130 (2018) - [c71]Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabrício Benevenuto, Krishna P. Gummadi, Adrian Weller:
Purple Feed: Identifying High Consensus News Posts on Social Media. AIES 2018: 10-16 - [c70]Alkiviadis Savvopoulos, Pantelis Vikatos, Fabrício Benevenuto:
Socialbots' First Words: Can Automatic Chatting Improve Influence in Twitter? ASONAM 2018: 190-193 - [c69]Lucas Lima, Julio C. S. Reis, Philipe F. Melo, Fabricio Murai, Leandro Araújo Silva, Pantelis Vikatos, Fabrício Benevenuto:
Inside the Right-Leaning Echo Chambers: Characterizing Gab, an Unmoderated Social System. ASONAM 2018: 515-522 - [c68]Till Speicher, Muhammad Ali, Giridhari Venkatadri, Filipe Nunes Ribeiro, George Arvanitakis, Fabrício Benevenuto, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove:
Potential for Discrimination in Online Targeted Advertising. FAT 2018: 5-19 - [c67]Filipe Nunes Ribeiro, Lucas Henrique C. Lima, Fabrício Benevenuto, Abhijnan Chakraborty, Juhi Kulshrestha, Mahmoudreza Babaei, Krishna P. Gummadi:
Media Bias Monitor: Quantifying Biases of Social Media News Outlets at Large-Scale. ICWSM 2018: 290-299 - [c66]Gustavo Santos, Marcelo Santos, Vinícius F. S. Mota, Fabrício Benevenuto, Thiago Henrique Silva:
Neutral or Negative?: Sentiment Evaluation in Reviews of Hosting Services. WebMedia 2018: 347-354 - [c65]Gustavo Resende, Johnnatan Messias, Márcio Silva, Jussara M. Almeida, Marisa Vasconcelos, Fabrício Benevenuto:
A System for Monitoring Public Political Groups in WhatsApp. WebMedia 2018: 387-390 - [i23]Lucas Lima, Julio C. S. Reis, Philipe F. Melo, Fabricio Murai, Leandro Araújo Silva, Pantelis Vikatos, Fabrício Benevenuto:
Inside the Right-Leaning Echo Chambers: Characterizing Gab, an Unmoderated Social System. CoRR abs/1807.03688 (2018) - [i22]Filipe Nunes Ribeiro, Koustuv Saha, Mahmoudreza Babaei, Lucas Henrique C. Lima, Johnnatan Messias, Oana Goga, Fabrício Benevenuto, Krishna P. Gummadi, Elissa M. Redmiles:
On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook. CoRR abs/1808.09218 (2018) - 2017
- [j22]Douglas Castilho, Pedro O. S. Vaz de Melo, Fabrício Benevenuto:
The strength of the work ties. Inf. Sci. 375: 155-170 (2017) - [j21]Johnnatan Messias, João Paulo Diniz, Elias Soares, Miller Ferreira, Matheus Araújo, Lucas Bastos, Manoel Miranda, Fabrício Benevenuto:
An evaluation of sentiment analysis for mobile devices. Soc. Netw. Anal. Min. 7(1): 20:1-20:11 (2017) - [c64]Wellington Dores, Elias Soares, Fabrício Benevenuto, Alberto H. F. Laender:
Building the Brazilian Academic Genealogy Tree. TPDL 2017: 537-543 - [c63]Priscila Martins, Manoel Junior, Fabrício Benevenuto, Jussara M. Almeida:
The Emergence of Crowdsourcing among Pokémon Go Players. HT (Extended Proceedings) 2017 - [c62]Mainack Mondal, Leandro Araújo Silva, Fabrício Benevenuto:
A Measurement Study of Hate Speech in Social Media. HT 2017: 85-94 - [c61]Júlio Cesar dos Reis, Haewoon Kwak, Jisun An, Johnnatan Messias, Fabrício Benevenuto:
Demographics of News Sharing in the U.S. Twittersphere. HT 2017: 195-204 - [c60]Pantelis Vikatos, Johnnatan Messias, Manoel Miranda, Fabrício Benevenuto:
Linguistic Diversities of Demographic Groups in Twitter. HT 2017: 275-284 - [c59]Abhijnan Chakraborty, Johnnatan Messias, Fabrício Benevenuto, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations. ICWSM 2017: 22-31 - [c58]Johnnatan Messias, Pantelis Vikatos, Fabrício Benevenuto:
White, man, and highly followed: gender and race inequalities in Twitter. WI 2017: 266-274 - [c57]Gustavo Rodrigues Lacerda Silva, Lucas Machado de Oliveira, Rafael Ribeiro de Medeiros, Olga Goussevskaia, Fabrício Benevenuto:
Characterizing internet radio stations at scale. WI 2017: 670-677 - [c56]Matheus Araújo, Yelena Mejova, Ingmar Weber, Fabrício Benevenuto:
Using Facebook Ads Audiences for Global Lifestyle Disease Surveillance: Promises and Limitations. WebSci 2017: 253-257 - [i21]Priscila Martins, Manoel Miranda, Fabrício Benevenuto, Jussara M. Almeida:
The Emergence of Crowdsourcing among Pokémon Go Players. CoRR abs/1703.08365 (2017) - [i20]Abhijnan Chakraborty, Johnnatan Messias, Fabrício Benevenuto, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations. CoRR abs/1704.00139 (2017) - [i19]Pantelis Vikatos, Johnnatan Messias, Manoel Miranda, Fabrício Benevenuto:
Linguistic Diversities of Demographic Groups in Twitter. CoRR abs/1705.03926 (2017) - [i18]Júlio Cesar dos Reis, Haewoon Kwak, Jisun An, Johnnatan Messias, Fabrício Benevenuto:
Demographics of News Sharing in the U.S. Twittersphere. CoRR abs/1705.03972 (2017) - [i17]Matheus Araújo, Yelena Mejova, Ingmar Weber, Fabrício Benevenuto:
Using Facebook Ads Audiences for Global Lifestyle Disease Surveillance: Promises and Limitations. CoRR abs/1705.04045 (2017) - [i16]Johnnatan Messias, Pantelis Vikatos, Fabrício Benevenuto:
White, Man, and Highly Followed: Gender and Race Inequalities in Twitter. CoRR abs/1706.08619 (2017) - [i15]Philipe F. Melo, Daniel Hasan Dalip, Manoel M. Junior, Marcos André Gonçalves, Fabrício Benevenuto:
10Sent: A Stable Sentiment Analysis Method Based on the Combination of Off-The-Shelf Approaches. CoRR abs/1711.07915 (2017) - [i14]Wellington Dores, Elias Soares, Fabrício Benevenuto, Alberto H. F. Laender:
Building the Brazilian Academic Genealogy Tree. CoRR abs/1712.09601 (2017) - 2016
- [j20]Filipe N. Ribeiro, Matheus Araújo, Pollyanna Gonçalves, Marcos André Gonçalves, Fabrício Benevenuto:
SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods. EPJ Data Sci. 5(1): 23 (2016) - [j19]Flavio V. D. de Figueiredo, Jussara M. Almeida, Marcos André Gonçalves, Fabrício Benevenuto:
TrendLearner: Early prediction of popularity trends of user generated content. Inf. Sci. 349-350: 172-187 (2016) - [j18]Fabrício Benevenuto, Alberto H. F. Laender, Bruno Leite Alves:
The H-index paradox: your coauthors have a higher H-index than you do. Scientometrics 106(1): 469-474 (2016) - [j17]Carlos Alessandro Sena de Freitas, Fabrício Benevenuto, Adriano Veloso, Saptarshi Ghosh:
An empirical study of socialbot infiltration strategies in the Twitter social network. Soc. Netw. Anal. Min. 6(1): 23:1-23:16 (2016) - [c55]Johnnatan Messias, Fabrício Benevenuto, Ingmar Weber, Emilio Zagheni:
From migration corridors to clusters: The value of Google+ data for migration studies. ASONAM 2016: 421-428 - [c54]Johnnatan Messias, João Paulo Diniz, Elias Soares, Miller Ferreira, Matheus Araújo, Lucas Bastos, Manoel Miranda, Fabrício Benevenuto:
Towards sentiment analysis for mobile devices. ASONAM 2016: 1390-1391 - [c53]Moisés Henrique Ramos Pereira, Flávio Luis Cardeal Pádua, Adriano César Machado Pereira, Fabrício Benevenuto, Daniel Hasan Dalip:
Fusing Audio, Textual, and Visual Features for Sentiment Analysis of News Videos. ICWSM 2016: 659-662 - [c52]Leandro Araújo Silva, Mainack Mondal, Denzil Correa, Fabrício Benevenuto, Ingmar Weber:
Analyzing the Targets of Hate in Online Social Media. ICWSM 2016: 687-690 - [c51]Matheus Lima Diniz Araújo, João Paulo Diniz, Lucas Bastos, Elias Soares, Manoel Junior, Miller Ferreira, Filipe Nunes Ribeiro, Fabrício Benevenuto:
iFeel 2.0: A Multilingual Benchmarking System for Sentence-Level Sentiment Analysis. ICWSM 2016: 758-759 - [c50]Wellington Dores, Fabrício Benevenuto, Alberto H. F. Laender:
Extracting Academic Genealogy Trees from the Networked Digital Library of Theses and Dissertations. JCDL 2016: 163-166 - [c49]Matheus Araújo, Júlio Cesar dos Reis, Adriano C. M. Pereira, Fabrício Benevenuto:
An evaluation of machine translation for multilingual sentence-level sentiment analysis. SAC 2016: 1140-1145 - [c48]Pollyanna Gonçalves, Daniel Hasan Dalip, Helen Costa, Marcos André Gonçalves, Fabrício Benevenuto:
On the combination of "off-the-shelf" sentiment analysis methods. SAC 2016: 1158-1165 - [c47]Matheus Lima Diniz Araújo, Iuro Nascimento, Gustavo Caetano Rafael, Raquel Cardoso de Melo Minardi, Fabrício Benevenuto:
Emotional Fingerprint from Authors in Classical Literature. WebMedia 2016: 263-270 - [c46]Sérgio D. Canuto, Marcos André Gonçalves, Fabrício Benevenuto:
Exploiting New Sentiment-Based Meta-level Features for Effective Sentiment Analysis. WSDM 2016: 53-62 - [e3]