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ORCIDKristina Lerman
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- affiliation: University of Southern California, Information Sciences Institute, Los Angeles, USA
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2020 – today
- 2023
[c144]Siyi Guo, Negar Mokhberian, Kristina Lerman:
A Data Fusion Framework for Multi-Domain Morality Learning. ICWSM 2023: 281-291- [c143]Rong-Ching Chang, Ashwin Rao, Qiankun Zhong, Magdalena Wojcieszak, Kristina Lerman:
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy. ICWSM 2023: 997-1005 - [c142]Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman:
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. SBP-BRiMS 2023: 44-53 - [c141]Rong-Ching Chang, Jonathan May, Kristina Lerman:
Feedback Loops and Complex Dynamics of Harmful Speech in Online Discussions. SBP-BRiMS 2023: 85-94 - [i150]Christopher Tran, Keith Burghardt, Kristina Lerman, Elena Zheleva:
Data-Driven Estimation of Heterogeneous Treatment Effects. CoRR abs/2301.06615 (2023) - [i149]Rebecca Dorn, Yiwen Ma, Fred Morstatter, Kristina Lerman:
Gender and Prestige Bias in Coronavirus News Reporting. CoRR abs/2301.11994 (2023) - [i148]Rong-Ching Chang, Ashwin Rao, Qiankun Zhong, Magdalena Wojcieszak, Kristina Lerman:
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy. CoRR abs/2302.01439 (2023) - [i147]Rebecca Dorn, Julie Jiang, Jeremy Abramson, Kristina Lerman:
Non-Binary Gender Expression in Online Interactions. CoRR abs/2303.04837 (2023) - [i146]Siyi Guo, Negar Mokhberian, Kristina Lerman:
A Data Fusion Framework for Multi-Domain Morality Learning. CoRR abs/2304.02144 (2023) - [i145]Haochen Pi, Keith Burghardt, Allon G. Percus, Kristina Lerman:
Clique Densification in Networks. CoRR abs/2304.03479 (2023) - [i144]Zihao He, Jonathan May, Kristina Lerman:
CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities. CoRR abs/2305.09846 (2023) - [i143]Kristina Lerman, Aryan Karnati, Shuchan Zhou, Siyi Chen, Sudesh Kumar, Zihao He, Joanna Yau, Abigail Horn:
Radicalized by Thinness: Using a Model of Radicalization to Understand Pro-Anorexia Communities on Twitter. CoRR abs/2305.11316 (2023) - [i142]Keith Burghardt, Ashwin Rao, Siyi Guo, Zihao He, Georgios Chochlakis, Sabyasachee Baruah, Andrew Rojecki, Shri Narayanan, Kristina Lerman:
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. CoRR abs/2305.11867 (2023) - [i141]Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang, Fred Morstatter, Kristina Lerman:
Pandemic Culture Wars: Partisan Asymmetries in the Moral Language of COVID-19 Discussions. CoRR abs/2305.18533 (2023) - [i140]Wanying Zhao, Fiona Guo, Kristina Lerman, Yong-Yeol Ahn:
Discovering collective narratives shifts in online discussions. CoRR abs/2307.08541 (2023) - [i139]Siyi Guo, Zihao He, Ashwin Rao, Eugene Jang, Yuanfeixue Nan, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman:
Measuring Online Emotional Reactions to Offline Events. CoRR abs/2307.10245 (2023) - 2022
- [j48]Goran Muric, Alexey Tregubov
, Jim Blythe, Andrés Abeliuk, Divya Choudhary, Kristina Lerman, Emilio Ferrara:
Large-scale agent-based simulations of online social networks. Auton. Agents Multi Agent Syst. 36(2): 38 (2022) - [j47]Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan:
A Survey on Bias and Fairness in Machine Learning. ACM Comput. Surv. 54(6): 115:1-115:35 (2022) - [j46]Yuzi He, Keith A. Burghardt, Kristina Lerman:
Leveraging change point detection to discover natural experiments in data. EPJ Data Sci. 11(1): 49 (2022) - [j45]Keith Burghardt, Johannes H. Uhl, Kristina Lerman, Stefan Leyk:
Road network evolution in the urban and rural United States since 1900. Comput. Environ. Urban Syst. 95: 101803 (2022) - [c140]Yuzi He, Keith Burghardt, Siyi Guo, Kristina Lerman:
Learning Fairer Interventions. AIES 2022: 317-323 - [c139]Negar Mokhberian, Frederic R. Hopp, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman:
Noise Audits Improve Moral Foundation Classification. ASONAM 2022: 147-154 - [c138]Kristina Lerman:
The Social Emotional Web. CIC 2022: 26-30 - [c137]Siyi Guo, Keith Burghardt, Ashwin Rao, Kristina Lerman:
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic. ICWSM Workshops 2022 - [c136]Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara:
Assessing Scientific Research Papers with Knowledge Graphs. SIGIR 2022: 2467-2472 - [c135]Zihao He, Negar Mokhberian, Kristina Lerman:
Infusing Knowledge from Wikipedia to Enhance Stance Detection. WASSA@ACL 2022: 71-77 - [i138]Keith Burghardt, Kristina Lerman:
Emergent Instabilities in Algorithmic Feedback Loops. CoRR abs/2201.07203 (2022) - [i137]Ashwin Rao, Fred Morstatter, Kristina Lerman:
Partisan Asymmetries in Exposure to Misinformation. CoRR abs/2203.01350 (2022) - [i136]Siyi Guo, Keith Burghardt, Ashwin Rao, Kristina Lerman:
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic. CoRR abs/2203.03608 (2022) - [i135]Julie Jiang, Kristina Lerman, Emilio Ferrara:
Zero-shot meta-learning for small-scale data from human subjects. CoRR abs/2203.16309 (2022) - [i134]Zihao He, Negar Mokhberian, Kristina Lerman:
Infusing Knowledge from Wikipedia to Enhance Stance Detection. CoRR abs/2204.03839 (2022) - [i133]Negar Mokhberian, Frederic R. Hopp, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman:
Noise Audits Improve Moral Foundation Classification. CoRR abs/2210.07415 (2022) - [i132]Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion. CoRR abs/2210.15842 (2022) - [i131]Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats. CoRR abs/2211.00171 (2022) - [i130]Ashwin Rao, Fred Morstatter, Kristina Lerman:
Retweets Distort Exposure to Polarized Information. CoRR abs/2211.16480 (2022) - [i129]Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman:
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. CoRR abs/2212.00339 (2022) - [i128]Kristina Lerman:
The Social Emotional Web. CoRR abs/2212.03810 (2022) - 2021
- [j44]Lisette Espín-Noboa, Fariba Karimi, Bruno Ribeiro, Kristina Lerman, Claudia Wagner:
Explaining classification performance and bias via network structure and sampling technique. Appl. Netw. Sci. 6(1): 78 (2021) - [j43]Buddhika Nettasinghe, Nazanin Alipourfard, Stephen Iota, Vikram Krishnamurthy, Kristina Lerman:
Scale-free degree distributions, homophily and the glass ceiling effect in directed networks. J. Complex Networks 10(2) (2021) - [j42]Minda Hu, Ashwin Rao, Mayank Kejriwal, Kristina Lerman:
Socioeconomic Correlates of Anti-Science Attitudes in the US. Future Internet 13(6): 160 (2021) - [j41]Sandeep Soni, Kristina Lerman, Jacob Eisenstein:
Follow the leader: Documents on the leading edge of semantic change get more citations. J. Assoc. Inf. Sci. Technol. 72(4): 478-492 (2021) - [j40]Julie Jiang, Danaja Maldeniya, Kristina Lerman, Emilio Ferrara:
The Wide, the Deep, and the Maverick: Types of Players in Team-based Online Games. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 191:1-191:26 (2021) - [j39]José Luis Ambite, Lily Fierro, Jonathan Gordon, Gully A. P. C. Burns, Florian Geigl, Kristina Lerman, John D. Van Horn:
BD2K Training Coordinating Center's ERuDIte: The Educational Resource Discovery Index for Data Science. IEEE Trans. Emerg. Top. Comput. 9(1): 316-328 (2021) - [c134]Shen Yan, Hsien-Te Kao, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara:
Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing. ACII 2021: 1-8 - [c133]Zihao He, Negar Mokhberian, António Câmara, Andrés Abeliuk, Kristina Lerman:
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings. EMNLP (Findings) 2021: 2102-2118 - [c132]Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani:
Speaker Turn Modeling for Dialogue Act Classification. EMNLP (Findings) 2021: 2150-2157 - [c131]Yuzi He, Christopher Tran, Julie Jiang, Keith Burghardt, Emilio Ferrara, Elena Zheleva, Kristina Lerman:
Heterogeneous Effects of Software Patches in aMultiplayer Online Battle Arena Game. FDG 2021: 11:1-11:9 - [c130]J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham:
Mapping Moral Valence of Tweets Following The Killing of George Floyd. ICWSM Workshops 2021 - [c129]Yuzi He, Ashwin Rao, Keith Burghardt, Kristina Lerman:
Identifying Shifts in Collective Attention to Topics on Social Media. SBP-BRiMS 2021: 224-234 - [c128]Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman:
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. SBP-BRiMS 2021: 257-267 - [c127]Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic:
Limiting Tags Fosters Efficiency. WebSci 2021: 46-55 - [c126]Nathan Bartley, Andrés Abeliuk, Emilio Ferrara, Kristina Lerman:
Auditing Algorithmic Bias on Twitter. WebSci 2021: 65-73 - [i127]Keith A. Burghardt, Allon G. Percus, Kristina Lerman:
A Model of Densifying Collaboration Networks. CoRR abs/2101.11056 (2021) - [i126]Julie Jiang, Kristina Lerman, Emilio Ferrara:
Individualized Context-Aware Tensor Factorization for Online Games Predictions. CoRR abs/2102.11352 (2021) - [i125]Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman:
Emergence of Structural Inequalities in Scientific Citation Networks. CoRR abs/2103.10944 (2021) - [i124]Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman:
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect. CoRR abs/2103.12149 (2021) - [i123]Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic:
Limiting Tags Fosters Efficiency. CoRR abs/2104.01028 (2021) - [i122]Zihao He, Negar Mokhberian, António Câmara, Andrés Abeliuk, Kristina Lerman:
Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings. CoRR abs/2104.07814 (2021) - [i121]J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham:
Mapping Moral Valence of Tweets Following the Killing of George Floyd. CoRR abs/2104.09578 (2021) - [i120]Nazgol Tavabi, Kristina Lerman:
Pattern Discovery in Time Series with Byte Pair Encoding. CoRR abs/2106.00614 (2021) - [i119]Nazanin Alipourfard, Keith Burghardt, Kristina Lerman:
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data. CoRR abs/2108.13581 (2021) - [i118]Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani:
Speaker Turn Modeling for Dialogue Act Classification. CoRR abs/2109.05056 (2021) - [i117]Yuzi He, Christopher Tran, Julie Jiang, Keith Burghardt, Emilio Ferrara, Elena Zheleva, Kristina Lerman:
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game. CoRR abs/2110.14632 (2021) - 2020
- [j38]Hsien-Te Kao, Shen Yan, Homa Hosseinmardi, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara:
User-Based Collaborative Filtering Mobile Health System. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 165:1-165:17 (2020) - [j37]Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara:
Affect Estimation with Wearable Sensors. J. Heal. Informatics Res. 4(3): 261-294 (2020) - [j36]Keith Burghardt, Tad Hogg, Raissa M. D'Souza, Kristina Lerman, Márton Pósfai:
Origins of Algorithmic Instabilities in Crowdsourced Ranking. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 166:1-166:20 (2020) - [j35]Buddhika Nettasinghe, Vikram Krishnamurthy, Kristina Lerman:
Diffusion in Social Networks: Effects of Monophilic Contagion, Friendship Paradox, and Reactive Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1121-1132 (2020) - [c125]Yuzi He, Keith Burghardt, Kristina Lerman:
A Geometric Solution to Fair Representations. AIES 2020: 279-285 - [c124]Goran Muric, Alexey Tregubov, Jim Blythe, Andrés Abeliuk, Divya Choudhary, Kristina Lerman, Emilio Ferrara:
Massive Cross-Platform Simulations of Online Social Networks. AAMAS 2020: 895-903 - [c123]Julie Jiang, Kristina Lerman, Emilio Ferrara:
Individualized Context-Aware Tensor Factorization for Online Games Predictions. ICDM (Workshops) 2020: 292-299 - [c122]Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic:
Can Badges Foster a More Welcoming Culture on Q&A Boards? ICWSM 2020: 969-973 - [c121]Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth Narayanan, Emilio Ferrara, Kristina Lerman:
Learning Behavioral Representations from Wearable Sensors. SBP-BRiMS 2020: 245-254 - [c120]Negar Mokhberian, Andrés Abeliuk, Patrick Cummings, Kristina Lerman:
Moral Framing and Ideological Bias of News. SocInfo 2020: 206-219 - [c119]Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman:
Challenges in Forecasting Malicious Events from Incomplete Data. WWW (Companion Volume) 2020: 603-610 - [c118]Di Huang, Zihao He, Yuzhong Huang, Kexuan Sun, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan:
Graph Embedding with Personalized Context Distribution. WWW (Companion Volume) 2020: 655-661 - [i116]Andrés Abeliuk, Zhishen Huang, Emilio Ferrara, Kristina Lerman:
Predictability limit of partially observed systems. CoRR abs/2001.06547 (2020) - [i115]Emily Chen, Kristina Lerman, Emilio Ferrara:
COVID-19: The First Public Coronavirus Twitter Dataset. CoRR abs/2003.07372 (2020) - [i114]Karel Mundnich, Brandon M. Booth, Michelle L'Hommedieu, Tiantian Feng, Benjamin Girault, Justin L'Hommedieu, Mackenzie Wildman, Sophia Skaaden, Amrutha Nadarajan, Jennifer L. Villatte, Tiago H. Falk, Kristina Lerman, Emilio Ferrara, Shrikanth Narayanan:
TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers. CoRR abs/2003.08474 (2020) - [i113]Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman:
Challenges in Forecasting Malicious Events from Incomplete Data. CoRR abs/2004.04597 (2020) - [i112]Keith Burghardt, Kristina Lerman:
Systematic Biases in Aggregated COVID-19 Growth Rates. CoRR abs/2004.12994 (2020) - [i111]Goran Muric, Kristina Lerman, Emilio Ferrara:
COVID-19 amplifies gender disparities in research. CoRR abs/2006.06142 (2020) - [i110]Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman:
Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors. CoRR abs/2008.01723 (2020) - [i109]Negar Mokhberian, Andrés Abeliuk, Patrick Cummings, Kristina Lerman:
Moral Framing and Ideological Bias of News. CoRR abs/2009.12979 (2020) - [i108]Clara O. Ross, Aditya Gupta, Ninareh Mehrabi, Goran Muric, Kristina Lerman:
The Leaky Pipeline in Physics Publishing. CoRR abs/2010.08912 (2020) - [i107]Keith Burghardt, Tad Hogg, Raissa M. D'Souza, Kristina Lerman, Márton Pósfai:
Origins of Algorithmic Instabilities in Crowdsourced Ranking. CoRR abs/2010.12571 (2020) - [i106]Yuzi He, Keith Burghardt, Siyi Guo, Kristina Lerman:
Inherent Trade-offs in the Fair Allocation of Treatments. CoRR abs/2010.16409 (2020) - [i105]Ashwin Rao, Fred Morstatter, Minda Hu, Emily Chen, Keith Burghardt, Emilio Ferrara, Kristina Lerman:
Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19. CoRR abs/2011.08498 (2020)
2010 – 2019
- 2019
- [j34]Peter G. Fennell, Zhiya Zuo, Kristina Lerman:
Predicting and explaining behavioral data with structured feature space decomposition. EPJ Data Sci. 8(1): 23:1-23:27 (2019) - [j33]Goran Muric, Andrés Abeliuk, Kristina Lerman, Emilio Ferrara:
Collaboration Drives Individual Productivity. Proc. ACM Hum. Comput. Interact. 3(CSCW): 74:1-74:24 (2019) - [j32]Adam Badawy, Aseel Addawood, Kristina Lerman, Emilio Ferrara:
Characterizing the 2016 Russian IRA influence campaign. Soc. Netw. Anal. Min. 9(1): 31:1-31:11 (2019) - [c117]James Blythe, Emilio Ferrara, Di Huang, Kristina Lerman, Goran Muric, Anna Sapienza, Alexey Tregubov, Diogo Pacheco, John Bollenbacher, Alessandro Flammini, Pik-Mai Hui, Filippo Menczer:
The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem. AAMAS 2019: 1835-1837 - [c116]Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara:
Estimating Individualized Daily Self-Reported Affect with Wearable Sensors. ICHI 2019: 1-9 - [c115]Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan:
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. ICML 2019: 21-29 - [c114]Aseel Addawood, Adam Badawy, Kristina Lerman, Emilio Ferrara:
Linguistic Cues to Deception: Identifying Political Trolls on Social Media. ICWSM 2019: 15-25 - [c113]Jim Blythe, John Bollenbacher, Di Huang, Pik-Mai Hui, Rachel Krohn, Diogo Pacheco, Goran Muric, Anna Sapienza, Alexey Tregubov, Yong-Yeol Ahn, Alessandro Flammini, Kristina Lerman, Filippo Menczer, Tim Weninger, Emilio Ferrara:
Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem. PAAMS 2019: 3-15 - [c112]Adam Badawy, Kristina Lerman, Emilio Ferrara:
Who Falls for Online Political Manipulation? WWW (Companion Volume) 2019: 162-168 - [c111]Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman:
Characterizing Activity on the Deep and Dark Web. WWW (Companion Volume) 2019: 206-213 - [c110]Mohsen Sayyadiharikandeh, Jonathan Gordon, José Luis Ambite, Kristina Lerman:
Finding Prerequisite Relations using the Wikipedia Clickstream. WWW (Companion Volume) 2019: 1240-1247 - [e3]J. Shane Culpepper, Alistair Moffat, Paul N. Bennett, Kristina Lerman:
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019. ACM 2019, ISBN 978-1-4503-5940-5 [contents] - [e2]Sihem Amer-Yahia, Mohammad Mahdian, Ashish Goel, Geert-Jan Houben, Kristina Lerman, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia:
Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. ACM 2019, ISBN 978-1-4503-6675-5 [contents] - [i104]Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman:
Characterizing Activity on the Deep and Dark Web. CoRR abs/1903.00156 (2019) - [i103]Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Hrayr Harutyunyan, Nazanin Alipourfard, Kristina Lerman, Greg Ver Steeg, Aram Galstyan:
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. CoRR abs/1905.00067 (2019) - [i102]Nazanin Alipourfard, Buddhika Nettasinghe, Andrés Abeliuk, Vikram Krishnamurthy, Kristina Lerman:
Friendship Paradox Biases Perceptions in Directed Networks. CoRR abs/1905.05286 (2019) - [i101]Homa Hosseinmardi, Hsien-Te Kao, Kristina Lerman, Emilio Ferrara:
Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization. CoRR abs/1905.08846 (2019) - [i100]Jim Blythe, John Bollenbacher, Di Huang, Pik-Mai Hui, Rachel Krohn, Diogo Pacheco, Goran Muric, Anna Sapienza, Alexey Tregubov, Yong-Yeol Ahn, Alessandro Flammini, Kristina Lerman, Filippo Menczer, Tim Weninger, Emilio Ferrara:
Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem. CoRR abs/1908.05437 (2019) - [i99]Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan:
A Survey on Bias and Fairness in Machine Learning. CoRR abs/1908.09635 (2019) - [i98]Sandeep Soni, Kristina Lerman, Jacob Eisenstein:
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations. CoRR abs/1909.04189 (2019) - [i97]Keith Burghardt, Tad Hogg, Kristina Lerman:
Quantifying the Impact of Cognitive Biases in Question-Answering Systems. CoRR abs/1909.09633 (2019) - [i96]Yuzi He, Keith Burghardt, Kristina Lerman:
Learning Fair and Interpretable Representations via Linear Orthogonalization. CoRR abs/1910.12854 (2019) - [i95]Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth S. Narayanan, Emilio Ferrara, Kristina Lerman:
Learning Behavioral Representations from Wearable Sensors. CoRR abs/1911.06959 (2019) - [i94]Goran Muric, Andrés Abeliuk, Kristina Lerman, Emilio Ferrara:
Collaboration Drives Individual Productivity. CoRR abs/1911.11787 (2019) - [i93]John D. Van Horn, Sumiko Abe, José Luis Ambite, Teresa K. Attwood, Niall Beard, Louisa Bellis, Avnish Bhattrai, Alex A. T. Bui, Gully Burns, Lily Fierro, Jonathan Gordon, Jeffrey S. Grethe, Jeana Kamdar, Xiaoyu Lei, Kristina Lerman, Annette McGrath, Nicola J. Mulder, Caroline O'Driscoll, Crystal Stewart, Sonika Tyagi:
Advancing the international data science workforce through shared training and education. F1000Research 8: 251 (2019) - 2018
- [j31]Ashok Deb, Kristina Lerman, Emilio Ferrara:
Predicting Cyber-Events by Leveraging Hacker Sentiment. Inf. 9(11): 280 (2018) - [j30]Kristina Lerman:
Computational social scientist beware: Simpson's paradox in behavioral data. J. Comput. Soc. Sci. 1(1): 49-58 (2018) - [j29]Kristina Lerman, Luciano G. Marin, Megha Arora, Lucas Henrique Costa de Lima, Emilio Ferrara, David García:
Language, demographics, emotions, and the structure of online social networks. J. Comput. Soc. Sci. 1(1): 209-225 (2018) - [j28]Nathan O. Hodas, Jacob S. Hunter, Stephen J. Young, Kristina Lerman:
Model of cognitive dynamics predicts performance on standardized tests. J. Comput. Soc. Sci. 1(2): 295-312 (2018) - [c109]Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman:
DarkEmbed: Exploit Prediction With Neural Language Models. AAAI 2018: 7849-7854 - [c108]Adam Badawy, Emilio Ferrara, Kristina Lerman:
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign. ASONAM 2018: 258-265 - [c107]Hsien-Te Kao, Homa Hosseinmardi, Shen Yan, Michelle Hasan, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara:
Discovering Latent Psychological Structures from Self-Report Assessments of Hospital Workers. BESC 2018: 156-161 - [c106]Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman:
Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data. ICWSM 2018: 2-11 - [c105]Keith Burghardt, Tad Hogg, Kristina Lerman:
Quantifying the Impact of Cognitive Biases in Question-Answering Systems.