Gender and Prestige Bias in Coronavirus News Reporting

Rebecca Dorn, Yiwen Ma, Fred Morstatter, Kristina Lerman

Article published in arXiv preprint arXiv:2301.11994; 2023

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Just another day on Twitter: a complete 24 hours of Twitter data

Juergen Pfeffer, Daniel Matter, Kokil Jaidka, Onur Varol, Afra Mashhadi, Jana Lasser, Dennis Assenmacher, Siqi Wu, Diyi Yang, Cornelia Brantner, others

Proceedings of the International AAAI Conference on Web and Social Media 2023

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Hybrid forecasting of geopolitical events

Daniel M Benjamin, Fred Morstatter, Ali E Abbas, Andres Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V Budescu, Michele Catasta, others

Article published in AI Magazine; 2023

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AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction

Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics 2023

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Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning

Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara

Article published in arXiv preprint arXiv:2305.10613; 2023

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Contextualizing Argument Quality Assessment with Relevant Knowledge

Darshan Deshpande, Zhivar Sourati, Filip Ilievski, Fred Morstatter

Article published in arXiv preprint arXiv:2305.12280; 2023

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Pandemic Culture Wars: Partisan Asymmetries in the Moral Language of COVID-19 Discussions

Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang, Fred Morstatter, Kristina Lerman

Article published in arXiv preprint arXiv:2305.18533; 2023

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Modeling Cross-Cultural Pragmatic Inference with Codenames Duet

Omar Shaikh, Caleb Ziems, William Held, Aryan J Pariani, Fred Morstatter, Diyi Yang

Article published in arXiv preprint arXiv:2306.02475; 2023

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Tighter Prediction Intervals for Causal Outcomes Under Hidden Confounding

Myrl G Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter

Article published in arXiv preprint arXiv:2306.09520; 2023

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Pipeline for modeling causal beliefs from natural language

John Priniski, Ishaan Verma, Fred Morstatter

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) 2023

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Measuring Online Emotional Reactions to Offline Events

Siyi Guo, Zihao He, Ashwin Rao, Eugene Jang, Yuanfeixue Nan, Fred Morstatter, Jeffrey Brantingham, Kristina Lerman

Article published in arXiv preprint arXiv:2307.10245; 2023

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The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA

Abel Salinas, Parth Shah, Yuzhong Huang, Robert McCormack, Fred Morstatter

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization 2023

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" Im not Racist but...": Discovering Bias in the Internal Knowledge of Large Language Models

Abel Salinas, Louis Penafiel, Robert McCormack, Fred Morstatter

Article published in arXiv preprint arXiv:2310.08780; 2023

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Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks

Negar Mokhberian, Myrl G Marmarelis, Frederic R Hopp, Valerio Basile, Fred Morstatter, Kristina Lerman

Article published in arXiv preprint arXiv:2311.09743; 2023

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Keyword assisted embedded topic model

Bahareh Harandizadeh, J Hunter Priniski, Fred Morstatter

Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining 2022

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Partisan asymmetries in exposure to misinformation

Ashwin Rao, Fred Morstatter, Kristina Lerman

Article published in Scientific Reports; 2022

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Robust conversational agents against imperceptible toxicity triggers

Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan

Article published in arXiv preprint arXiv:2205.02392; 2022

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Where Does Bias in Common Sense Knowledge Models Come From?

Sara Melotte, Filip Ilievski, Linglan Zhang, Aditya Malte, Namita Mutha, Fred Morstatter, Ninareh Mehrabi

Article published in IEEE Internet Computing; 2022

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Assessing Scientific Research Papers with Knowledge Graphs

Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 2022

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Gendered citation patterns among the scientific elite

Kristina Lerman, Yulin Yu, Fred Morstatter, Jay Pujara

Article published in Proceedings of the National Academy of Sciences; 2022

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Samba: Identifying Inappropriate Videos for Young Children on YouTube

Le Binh, Rajat Tandon, Chingis Oinar, Jeffrey Liu, Uma Durairaj, Jiani Guo, Spencer Zahabizadeh, Sanjana Ilango, Jeremy Tang, Fred Morstatter, others

Proceedings of the 31st ACM International Conference on Information \& Knowledge Management 2022

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Noise Audits Improve Moral Foundation Classification

Negar Mokhberian, Frederic R Hopp, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman

2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2022

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Retweets Distort Exposure to Polarized Information

Ashwin Rao, Fred Morstatter, Kristina Lerman

Article published in arXiv preprint arXiv:2211.16480; 2022

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Productive Online Discourse for Emergency Response

Gaurav Nuti, Louis Penafiel, Janelle Ward, Abel Salinas, Fred Morstatter, Nathan Schurr, R McCormack

Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media. Retrieved from https://doi. org/10.36190 2022

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Models, Markets, and Prediction Performance

Rajiv Sethi, Julie Seager, Emily Cai, Daniel M Benjamin, Fred Morstatter, Olivia Bobrownicki

Article published in Available at SSRN 3767544; 2022

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Identifying and analyzing cryptocurrency manipulations in social media

Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Fred Morstatter, Greg Ver Steeg, Aram Galstyan

Article published in IEEE Transactions on Computational Social Systems; 2021

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A survey on bias and fairness in machine learning

Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan

Article published in ACM computing surveys (CSUR); 2021

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Exacerbating algorithmic bias through fairness attacks

Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan

Proceedings of the AAAI Conference on Artificial Intelligence 2021

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Models, Markets, and the Forecasting of Elections

Rajiv Sethi, Julie Seager, Emily Cai, Daniel M Benjamin, Fred Morstatter

Article published in arXiv preprint arXiv:2102.04936; 2021

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Organizational Artifacts of Code Development

Parisa Kaghazgaran, Nichola Lubold, Fred Morstatter

Article published in arXiv preprint arXiv:2105.14637; 2021

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Lawyers are dishonest? quantifying representational harms in commonsense knowledge resources

Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan

Article published in arXiv preprint arXiv:2103.11320; 2021

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Mapping moral valence of tweets following the killing of George Floyd

J Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P Jeffrey Brantingham

Article published in arXiv preprint arXiv:2104.09578; 2021

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Systematizing confidence in open research and evidence (score)

Nazanin Alipourfard, Beatrix Arendt, Daniel M Benjamin, Noam Benkler, Michael Bishop, Mark Burstein, Martin Bush, James Caverlee, Yiling Chen, Chae Clark, others

Article published in SocArXiv; 2021

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Identifying distributional perspectives from colingual groups

Yufei Tian, Tuhin Chakrabarty, Fred Morstatter, Nanyun Peng

Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media 2021

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Detecting cryptocurrency pump-and-dump frauds using market and social signals

Huy Nghiem, Goran Muric, Fred Morstatter, Emilio Ferrara

Article published in Expert Systems with Applications; 2021

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Political partisanship and antiscience attitudes in online discussions about COVID-19: Twitter content analysis

Ashwin Rao, Fred Morstatter, Minda Hu, Emily Chen, Keith Burghardt, Emilio Ferrara, Kristina Lerman

Article published in Journal of medical Internet research; 2021

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I'll Play on My Other Account: The Network and Behavioral Differences of Sybils

Fred Morstatter, Do Own Kim, Natalie Jonckheere, Calvin Liu, Malika Seth, Dmitri Williams

Article published in Proceedings of the ACM on Human-Computer Interaction; 2021

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Social bots and their coordination during online campaigns: A survey

Tuja Khaund, Baris Kirdemir, Nitin Agarwal, Huan Liu, Fred Morstatter

Article published in IEEE Transactions on Computational Social Systems; 2021

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Attributing fair decisions with attention interventions

Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan

Article published in arXiv preprint arXiv:2109.03952; 2021

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Autotrigger: Named entity recognition with auxiliary trigger extraction

Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Mahak Agarwal, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren

Article published in arXiv preprint arXiv:2109.04726; 2021

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" Stop Asian hate!": refining detection of anti-Asian hate speech during the covid-19 pandemic

Huy Nghiem, Fred Morstatter

Article published in arXiv preprint arXiv:2112.02265; 2021

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Analyzing race and citizenship bias in Wikidata

Zaina Shaik, Filip Ilievski, Fred Morstatter

2021 IEEE 18th international conference on mobile Ad Hoc and smart systems (MASS) 2021

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Man is to person as woman is to location: Measuring gender bias in named entity recognition

Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, Aram Galstyan

Proceedings of the 31st ACM conference on Hypertext and Social Media 2020

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Anchor attention for hybrid crowd forecasts aggregation

Yuzhong Huang, Andrés Abeliuk, Fred Morstatter, Pavel Atanasov, Aram Galstyan

Article published in arXiv preprint arXiv:2003.12447; 2020

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Aggressive, repetitive, intentional, visible, and imbalanced: Refining representations for cyberbullying classification

Caleb Ziems, Ymir Vigfusson, Fred Morstatter

Proceedings of the International AAAI Conference on Web and Social Media 2020

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Graph embedding with personalized context distribution

Di Huang, Zihao He, Yuzhong Huang, Kexuan Sun, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan

Companion Proceedings of the Web Conference 2020 2020

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Statistical equity: A fairness classification objective

Ninareh Mehrabi, Yuzhong Huang, Fred Morstatter

Article published in arXiv preprint arXiv:2005.07293; 2020

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Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms

Akira Matsui, Emilio Ferrara, Fred Morstatter, Andrés Abeliuk, Aram Galstyan

Article published in arXiv preprint arXiv:2009.01966; 2020

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Quantifying machine influence over human forecasters

Andrés Abeliuk, Daniel M Benjamin, Fred Morstatter, Aram Galstyan

Article published in Scientific reports; 2020

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One-shot learning for temporal knowledge graphs

Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan

Article published in arXiv preprint arXiv:2010.12144; 2020

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Forecastqa: a question answering challenge for event forecasting with temporal text data

Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, Xiang Ren

Article published in arXiv preprint arXiv:2005.00792; 2020

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Political partisanship and anti-science attitudes in online discussions about covid-19

Ashwin Rao, Fred Morstatter, Minda Hu, Emily Chen, Keith Burghardt, Emilio Ferrara, Kristina Lerman

Article published in arXiv preprint arXiv:2011.08498; 2020

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Hidden in plain sight: A machine learning approach for detecting prostitution activity in Phoenix, Arizona

Edward Helderop, Jessica Huff, Fred Morstatter, Anthony Grubesic, Danielle Wallace

Article published in Applied spatial analysis and policy; 2019

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Debiasing community detection: the importance of lowly connected nodes

Ninareh Mehrabi, Fred Morstatter, Nanyun Peng, Aram Galstyan

Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2019

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A large-scale study of ISIS social media strategy: Community size, collective influence, and behavioral impact

Majid Alfifi, Parisa Kaghazgaran, James Caverlee, Fred Morstatter

Proceedings of the international AAAI conference on web and social media 2019

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SAGE: A Hybrid Geopolitical Event Forecasting System

International Joint Conference on Artificial Intelligence 2019

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Misinformation in social media: definition, manipulation, and detection

Liang Wu, Fred Morstatter, Kathleen M Carley, Huan Liu

Article published in ACM SIGKDD explorations newsletter; 2019

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Tensor-based Method for Temporal Geopolitical Event Forecasting

Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Tozammel Hossain, Fred Morstatter, Aram Galstyan

ICML Workshop on Learning and Reasoning with Graph-Structured Representations, Long Beach, CA 2019

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Toward relational learning with misinformation

Liang Wu, Jundong Li, Fred Morstatter, Huan Liu

Proceedings of the 2018 SIAM International Conference on Data Mining 2018

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From alt-right to alt-rechts: Twitter analysis of the 2017 german federal election

Fred Morstatter, Yunqiu Shao, Aram Galstyan, Shanika Karunasekera

Companion Proceedings of the The Web Conference 2018 2018

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Measuring the impact of ISIS social media strategy

Majid Alfifi, Parisa Kaghazgaran, James Caverlee, Fred Morstatter

Article published in MIS2. Marina Del Ray, California; 2018

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Mining and forecasting career trajectories of music artists

Shushan Arakelyan, Fred Morstatter, Margaret Martin, Emilio Ferrara, Aram Galstyan

Proceedings of the 29th on Hypertext and Social Media 2018

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SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification

Liang Wu, Fred Morstatter, Huan Liu

Article published in Language Resources and Evaluation; 2018

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In search of coherence and consensus: measuring the interpretability of statistical topics

Fred Morstatter, Huan Liu

Article published in Journal of Machine Learning Research; 2018

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Identifying framing bias in online news

Fred Morstatter, Liang Wu, Uraz Yavanoglu, Stephen R Corman, Huan Liu

Article published in ACM Transactions on Social Computing; 2018

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Tampering with Twitter’s sample API

Jürgen Pfeffer, Katja Mayer, Fred Morstatter

Article published in EPJ Data Science; 2018

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Feature selection: A data perspective

Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P Trevino, Jiliang Tang, Huan Liu

Article published in ACM computing surveys (CSUR); 2017

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Detecting camouflaged content polluters

Liang Wu, Xia Hu, Fred Morstatter, Huan Liu

Proceedings of the International AAAI Conference on Web and Social Media 2017

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Adaptive spammer detection with sparse group modeling

Liang Wu, Xia Hu, Fred Morstatter, Huan Liu

Proceedings of the international AAAI conference on web and social media 2017

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Discovering, assessing, and mitigating data bias in social media

Fred Morstatter, Huan Liu

Article published in Online Social Networks and Media; 2017

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A Close Look at Tinder Bots

Tahora H Nazer, Fred Morstatter, Gareth Tyson, Huan Liu

SDM 2017

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Cross-platform emoji interpretation: analysis, a solution, and applications

Fred Morstatter, Kai Shu, Suhang Wang, Huan Liu

Article published in arXiv preprint arXiv:1709.04969; 2017

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Archiving information from geotagged tweets to promote reproducibility and comparability in social media research

Katharina Kinder-Kurlanda, Katrin Weller, Wolfgang Zenk-Möltgen, Jürgen Pfeffer, Fred Morstatter

Article published in Big Data \& Society; 2017

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Characterizing and Identifying Shills in Social Media

Fred Morstatter, Robert P Trevino, Huan Liu

Article published in SBP; 2017

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Predicting online protest participation of social media users

Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu

Proceedings of the AAAI Conference on Artificial Intelligence 2016

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Can One Tamper with the Sample API? Toward Neutralizing Bias from Spam and Bot Content

Fred Morstatter, Harsh Dani, Justin Sampson, Huan Liu

World Wide Web 2016

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A Novel Measure for Coherence in Statistical Topic Models

Fred Morstatter, Huan Liu

Association of Computational Linguistics 2016

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Integrating Interactive and Computational Approaches for News Understanding

Liang Wu, Fred Morstatter, J Daniel Baird, Justin Sampson, Kai Shu, Huan Liu

SBP 2016

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A New Approach to Bot Detection: Striking the Balance Between Precision and Recall

Fred Morstatter, Liang Wu, Tahora H Nazer, Kathleen M Carley, Huan Liu

ASONAM 2016

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Slangsd: Building and using a sentiment dictionary of slang words for short-text sentiment classification

Liang Wu, Fred Morstatter, Huan Liu

Article published in arXiv preprint arXiv:1608.05129; 2016

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The good, the bad, and the ugly: uncovering novel research opportunities in social media mining

Huan Liu, Fred Morstatter, Jiliang Tang, Reza Zafarani

Article published in International Journal of Data Science and Analytics; 2016

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Paired Restricted Boltzmann Machine for Linked Data

Suhang Wang, Jiliang Tang, Fred Morstatter, Huan Liu

Article published in 2016

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Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection

Justin Sampson, Fred Morstatter, Liang Wu, Huan Liu

Article published in 2016

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Replacing mechanical turkers? challenges in the evaluation of models with semantic properties

Fred Morstatter, Huan Liu

Article published in Journal of Data and Information Quality (JDIQ); 2016

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Detecting and mitigating bias in social media

Fred Morstatter

2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2016

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Finding requests in social media for disaster relief

Tahora H Nazer, Fred Morstatter, Harsh Dani, Huan Liu

2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2016

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Mining misinformation in social media

Liang Wu, Fred Morstatter, Xia Hu, Huan Liu

Article published in Big data in complex and social networks; 2016

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Using Biased Social Samples for Disaster Response

Fred Morstatter

2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC) 2016

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Misinformation in Social Media: Diffusion, Detection and Intervention

Liang Wu, Fred Morstatter, Huan Liu

Article published in SBP-BRiMS, June; 2016

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Geotagged twitter posts from the united states: A tweet collection to investigate representativeness

J Pfeffer, F Morstatter

Article published in Version: 1. GESIS Data Archive. Dataset. http://doi. org/10.7802; 2016

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Discovering Location Information in Social Media.

Fred Morstatter, Huiji Gao, Huan Liu

Article published in IEEE Data Eng. Bull.; 2015

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Text, Topics, and Turkers: A Consensus Measure for Statistical Topics

Fred Morstatter, Jürgen Pfeffer, Katja Mayer, Huan Liu

Article published in Hypertext and Social Media; 2015

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Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage

Justin Sampson, Fred Morstatter, Ross Maciejewski, Huan Liu

Article published in 2015

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Real-Time Crisis Mapping using Language Distribution

Justin Sampson, Fred Morstatter, Reza Zafarani, Huan Liu

International Conference on Data Mining 2015

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Social Answer: A System for Finding Appropriate Sites for Questions in Social Media

Harsh Dani, Fred Morstatter, Xia Hu, Zhen Yang, Huan Liu

International Conference on Data Mining 2015

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Twitter Data Analytics

Shamanth Kumar, Fred Morstatter, Huan Liu

Misc published in 2014

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When is it biased? Assessing the representativeness of twitter's streaming API

Fred Morstatter, Jürgen Pfeffer, Huan Liu

Proceedings of the 23rd international conference on world wide web 2014

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Monitoring Social Media for Humanitarian Assistance and Disaster Relief

Shamanth Kumar, Fred Morstatter, Huan Liu

Article published in Special Technical Committee on Social Networking; 2014

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Finding Eyewitness Tweets During Crises

Fred Morstatter, Nichola Lubold, Heather Pon-Barry, Jürgen Pfeffer, Huan Liu

Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science 2014

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Discovering Social Events through Online Attention

Dror Y. Kenett, Fred Morstatter, H. Eugene Stanley, Huan Liu

Article published in PLoS ONE; 2014

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Embassies burning: toward a near-real-time assessment of social media using geo-temporal dynamic network analytics

Kathleen M Carley, Jürgen Pfeffer, Fred Morstatter, Huan Liu

Article published in Social Network Analysis and Mining; 2014

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Whom Should I Follow?: Identifying Relevant Users During Crises.

Shamanth Kumar, Fred Morstatter, Reza Zafarani, Huan Liu

Hypertext 2013

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Is the Sample Good Enough? Comparing Data from Twitter’s Streaming API with Twitter’s Firehose

Fred Morstatter, Jürgen Pfeffer, Huan Liu, Kathleen M Carley

International Conference on Weblogs and Social Media 2013

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Understanding Twitter Data with TweetXplorer

Fred Morstatter, Shamanth Kumar, Huan Liu, Ross Maciejewski

19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2013

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Near Real Time Assessment of Social Media Using Geo-Temporal Network Analytics

Kathleen M Carley, Jürgen Pfeffer, Huan Liu, Fred Morstatter, Rebecca Goolsby

Advances in Social Network Analysis and Mining (ASONAM) 2013 2013

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Opening doors to sharing social media data

Fred Morstatter, Huan Liu, Daniel Zeng

Article published in IEEE intelligent systems; 2012

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Navigating information facets on Twitter (NIF-T)

Shamanth Kumar, Fred Morstatter, Grant Marshall, Huan Liu, Ullas Nambiar

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining 2012

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Feature selection strategy in text classification

Pui Fung, Fred Morstatter, Huan Liu

Article published in Advances in Knowledge Discovery and Data Mining; 2011

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Advancing Feature Selection Research: ASU Feature Selection Repository

Zheng Zhao, Fred Morstatter, Shashvata Sharma, Salem Alelyani, Aneeth Anand, Huan Liu

Article published in School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe; 2010

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