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Przemyslaw A. Grabowicz
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2020 – today
- 2024
- [c15]Xi Chen, Mattia Samory, Scott A. Hale, David Jurgens, Przemyslaw A. Grabowicz:
A Multilingual Similarity Dataset for News Article Frame. ICWSM 2024: 1913-1923 - [c14]Xi Chen
, Scott A. Hale
Global News Synchrony and Diversity During the Start of the COVID-19 Pandemic. WWW 2024: 2639-2650 - [i24]Avinash Amballa, Anmol Mekala, Gayathri Akkinapalli, Manas Madine, Naga Pavana Priya Yarrabolu, Przemyslaw A. Grabowicz:
Automated Model Selection for Tabular Data. CoRR abs/2401.00961 (2024) - [i23]Chhandak Bagchi, Eric Malmi, Przemyslaw A. Grabowicz:
Promotion of Scientific Publications on ArXiv and X Is on the Rise and Impacts Citations. CoRR abs/2401.11116 (2024) - [i22]Xi Chen, Scott A. Hale, David Jurgens, Mattia Samory, Ethan Zuckerman, Przemyslaw A. Grabowicz:
Global News Synchrony and Diversity During the Start of the COVID-19 Pandemic. CoRR abs/2405.00280 (2024) - [i21]Stephen Scarano, Vijayalakshmi Vasudevan, Mattia Samory, Kai-Cheng Yang, JungHwan Yang, Przemyslaw A. Grabowicz:
Election Polls on Social Media: Prevalence, Biases, and Voter Fraud Beliefs. CoRR abs/2405.11146 (2024) - [i20]Xi Chen, Mattia Samory, Scott A. Hale, David Jurgens, Przemyslaw A. Grabowicz:
A Multilingual Similarity Dataset for News Article Frame. CoRR abs/2405.13272 (2024) - [i19]Stephen Scarano, Vijayalakshmi Vasudevan, Chhandak Bagchi, Mattia Samory, JungHwan Yang, Przemyslaw A. Grabowicz:
Analyzing and Estimating Support for U.S. Presidential Candidates in Twitter Polls. CoRR abs/2406.03340 (2024) - [i18]Chhandak Bagchi, Filippo Menczer, Jennifer Lundquist, Monideepa Tarafdar, Anthony Paik, Przemyslaw A. Grabowicz:
Social media algorithms can curb misinformation, but do they? CoRR abs/2409.18393 (2024) - 2023
- [j5]Nicholas Perello, Przemyslaw A. Grabowicz:
Fair Machine Learning Post Affirmative Action. SIGCAS Comput. Soc. 52(2): 22 (2023) - [c13]Przemyslaw A. Grabowicz
Learning from Discriminatory Training Data. AIES 2023: 752-763 - [i17]Przemyslaw A. Grabowicz, Nicholas Perello, Yair Zick:
Towards an AI Accountability Policy. CoRR abs/2307.13658 (2023) - 2022
- [c12]Przemyslaw A. Grabowicz, Nicholas Perello, Aarshee Mishra:
Marrying Fairness and Explainability in Supervised Learning. FAccT 2022: 1905-1916 - [c11]Xi Chen, Ali Zeynali, Chico Q. Camargo, Fabian Flöck, Devin Gaffney, Przemyslaw A. Grabowicz, Scott A. Hale, David Jurgens, Mattia Samory:
SemEval-2022 Task 8: Multilingual news article similarity. SemEval@NAACL 2022: 1094-1106 - [i16]Przemyslaw A. Grabowicz, Nicholas Perello, Aarshee Mishra:
Marrying Fairness and Explainability in Supervised Learning. CoRR abs/2204.02947 (2022) - 2021
- [c10]Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer:
Towards a Unifying Framework for Formal Theories of Novelty. AAAI 2021: 15047-15052 - [i15]David Ifeoluwa Adelani, Ryota Kobayashi, Ingmar Weber, Przemyslaw A. Grabowicz:
Estimating Community Feedback Effect on Topic Choice in Social Media with Predictive Modeling. CoRR abs/2103.04818 (2021) - 2020
- [j4]David Ifeoluwa Adelani, Ryota Kobayashi
Estimating community feedback effect on topic choice in social media with predictive modeling. EPJ Data Sci. 9(1): 25 (2020) - [i14]Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Larry B. Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer:
A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion. CoRR abs/2012.04226 (2020)
2010 – 2019
- 2019
- [c9]Zijian Wang, Scott A. Hale
Demographic Inference and Representative Population Estimates from Multilingual Social Media Data. WWW 2019: 2056-2067 - [i13]Zijian Wang, Scott A. Hale, David Ifeoluwa Adelani, Przemyslaw A. Grabowicz, Timo Hartmann, Fabian Flöck, David Jurgens:
Demographic Inference and Representative Population Estimates from Multilingual Social Media Data. CoRR abs/1905.05961 (2019) - [i12]Przemyslaw A. Grabowicz, Kenta Takatsu, Luis F. Lafuerza:
Supervised learning algorithms resilient to discriminatory data perturbations. CoRR abs/1912.08189 (2019) - 2017
- [c8]Julia Proskurnia, Przemyslaw A. Grabowicz, Ryota Kobayashi
Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series. WWW 2017: 755-764 - 2016
- [j3]Clayton A. Davis, Giovanni Luca Ciampaglia
OSoMe: the IUNI observatory on social media. PeerJ Comput. Sci. 2: e87 (2016) - [c7]Przemyslaw A. Grabowicz, Niloy Ganguly, Krishna P. Gummadi
Distinguishing between Topical and Non-Topical Information Diffusion Mechanisms in Social Media. ICWSM 2016: 151-160 - [c6]Przemyslaw A. Grabowicz, Mahmoudreza Babaei, Juhi Kulshrestha, Ingmar Weber:
The Road to Popularity: The Dilution of Growing Audience on Twitter. ICWSM 2016: 567-570 - [c5]Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera
On the Efficiency of the Information Networks in Social Media. WSDM 2016: 83-92 - [i11]Przemyslaw A. Grabowicz, Mahmoudreza Babaei, Juhi Kulshrestha, Ingmar Weber:
The Road to Popularity: The Dilution of Growing Audience on Twitter. CoRR abs/1603.04423 (2016) - [i10]Przemyslaw A. Grabowicz, Niloy Ganguly, Krishna P. Gummadi:
Distinguishing between Topical and Non-topical Information Diffusion Mechanisms in Social Media. CoRR abs/1603.04425 (2016) - [i9]Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez:
On the Efficiency of the Information Networks in Social Media. CoRR abs/1603.04447 (2016) - [i8]Clayton A. Davis, Giovanni Luca Ciampaglia, Luca Maria Aiello, Keychul Chung, Michael D. Conover, Emilio Ferrara
OSoMe: The IUNI observatory on social media. PeerJ Prepr. 4: e2008 (2016) - 2015
- [c4]Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera
On the Users' Efficiency in the Twitter Information Network. ICWSM 2015: 570-573 - [c3]Przemyslaw A. Grabowicz, Niloy Ganguly
Microscopic Description and Prediction of Information Diffusion in Social Media: Quantifying the Impact of Topical Interests. WWW (Companion Volume) 2015: 621-622 - [i7]Przemyslaw A. Grabowicz, Francisco Romero-Ferrero
An experimental study of opinion influenceability. CoRR abs/1512.00770 (2015) - 2014
- [j2]David Martin-Borregon, Luca Maria Aiello
Characterization of online groups along space, time, and social dimensions. EPJ Data Sci. 3(1): 8 (2014) - [j1]Przemyslaw A. Grabowicz, Luca Maria Aiello
Fast filtering and animation of large dynamic networks. EPJ Data Sci. 3(1): 27 (2014) - 2013
- [c2]Luca Chiarandini, Przemyslaw A. Grabowicz, Michele Trevisiol, Alejandro Jaimes:
Leveraging Browsing Patterns for Topic Discovery and Photostream Recommendation. ICWSM 2013 - [c1]Przemyslaw A. Grabowicz, Luca Maria Aiello
Distinguishing topical and social groups based on common identity and bond theory. WSDM 2013: 627-636 - [i6]Przemyslaw A. Grabowicz, José J. Ramasco, Bruno Gonçalves, Víctor M. Eguíluz:
Entangling mobility and interactions in social media. CoRR abs/1307.5304 (2013) - [i5]Przemyslaw A. Grabowicz, Luca Maria Aiello, Filippo Menczer:
Fast animation of large dynamic networks. CoRR abs/1308.0309 (2013) - [i4]Przemyslaw A. Grabowicz, Luca Maria Aiello, Víctor M. Eguíluz, Alejandro Jaimes:
Distinguishing Topical and Social Groups Based on Common Identity and Bond Theory. CoRR abs/1309.2199 (2013) - 2012
- [i3]Przemyslaw A. Grabowicz, José J. Ramasco, Víctor M. Eguíluz:
Dynamics in online social networks. CoRR abs/1210.0808 (2012) - 2011
- [i2]Przemyslaw A. Grabowicz, José J. Ramasco, Esteban Moro, Josep M. Pujol, Víctor M. Eguíluz:
Social features of online networks: the strength of weak ties in online social media. CoRR abs/1107.4009 (2011) - [i1]Przemyslaw A. Grabowicz, Víctor M. Eguíluz:
Heterogeneity shapes groups growth in social online communities. CoRR abs/1110.5673 (2011)
Coauthor Index
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