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Maurice Jakesch
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2020 – today
- 2023
- [j2]Sarah Kreps, Maurice Jakesch:
Can AI communication tools increase legislative responsiveness and trust in democratic institutions? Gov. Inf. Q. 40(3): 101829 (2023) - [c7]Ritika Poddar
, Rashmi Sinha
, Mor Naaman
, Maurice Jakesch
:
AI Writing Assistants Influence Topic Choice in Self-Presentation. CHI Extended Abstracts 2023: 29:1-29:6 - [c6]Liye Fu
, Benjamin Newman
, Maurice Jakesch
, Sarah Kreps
:
Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication. CHI 2023: 103:1-103:13 - [c5]Maurice Jakesch
, Advait Bhat
, Daniel Buschek
, Lior Zalmanson
, Mor Naaman
:
Co-Writing with Opinionated Language Models Affects Users' Views. CHI 2023: 111:1-111:15 - [c4]Joseph Schlessinger, Kiran Garimella, Maurice Jakesch, Dean Eckles:
Effects of Algorithmic Trend Promotion: Evidence from Coordinated Campaigns in Twitter's Trending Topics. ICWSM 2023: 777-786 - [i8]Maurice Jakesch, Advait Bhat, Daniel Buschek, Lior Zalmanson, Mor Naaman
:
Co-Writing with Opinionated Language Models Affects Users' Views. CoRR abs/2302.00560 (2023) - [i7]Liye Fu, Benjamin Newman, Maurice Jakesch, Sarah Kreps:
Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication. CoRR abs/2302.13382 (2023) - [i6]Joseph Schlessinger, Kiran Garimella, Maurice Jakesch, Dean Eckles:
Effects of Algorithmic Trend Promotion: Evidence from Coordinated Campaigns in Twitter's Trending Topics. CoRR abs/2304.05382 (2023) - [i5]Zoe A. Purcell, Mengchen Dong, Anne-Marie Nussberger, Nils Köbis, Maurice Jakesch:
Fears about AI-mediated communication are grounded in different expectations for one's own versus others' use. CoRR abs/2305.01670 (2023) - [i4]Zana Buçinca, Chau Minh Pham, Maurice Jakesch, Marco Túlio Ribeiro, Alexandra Olteanu, Saleema Amershi:
AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms. CoRR abs/2306.03280 (2023) - 2022
- [c3]Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu:
How Different Groups Prioritize Ethical Values for Responsible AI. FAccT 2022: 310-323 - [i3]Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu:
How Different Groups Prioritize Ethical Values for Responsible AI. CoRR abs/2205.07722 (2022) - [i2]Maurice Jakesch, Jeffrey T. Hancock
, Mor Naaman
:
Human Heuristics for AI-Generated Language Are Flawed. CoRR abs/2206.07271 (2022) - 2021
- [j1]Maurice Jakesch, Kiran Garimella, Dean Eckles, Mor Naaman
:
Trend Alert: A Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 379:1-379:19 (2021) - [i1]Maurice Jakesch, Kiran Garimella, Dean Eckles, Mor Naaman:
#Trend Alert: How a Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election. CoRR abs/2104.13259 (2021) - 2020
- [c2]Maurice Jakesch, Moran Koren, Anna Evtushenko, Mor Naaman:
How Partisan Crowds Affect News Evaluation. TTO 2020: 1-11
2010 – 2019
- 2019
- [c1]Maurice Jakesch, Megan French, Xiao Ma, Jeffrey T. Hancock
, Mor Naaman
:
AI-Mediated Communication: How the Perception that Profile Text was Written by AI Affects Trustworthiness. CHI 2019: 239
Coauthor Index
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