331 citations · 769 across the 9 of their papers we have counts for
10 papers
Reactive Writers: How Co-Writing with AI Changes How We Engage with Ideas
Advait Bhat, Marianne Aubin Le Quéré, Mor Naaman +1
Emerging experimental evidence shows that writing with AI assistance can change both the views people express in writing and the opinions they hold afterwards. Yet, we lack substan…
Effects of Personality- and Opinion-Alignment in Human-AI Interaction
Maximilian Eder, Clemens Lechner, Maurice Jakesch
Interactions with AI assistants are increasingly personalized to individual users. As AI personalization is dynamic and machine-learning-driven, we have limited understanding of ho…
AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms
Zana Buçinca, Chau Minh Pham, Maurice Jakesch +3
While demands for change and accountability for harmful AI consequences mount, foreseeing the downstream effects of deploying AI systems remains a challenging task. We developed AH…
Fears about AI-mediated communication are grounded in different expectations for one's own versus others' use
Zoe A. Purcell, Mengchen Dong, Anne-Marie Nussberger +2
The rapid development of AI-mediated communication technologies (AICTs), which are digital tools that use AI to augment interpersonal messages, has raised concerns about the future…
Effects of Algorithmic Trend Promotion: Evidence from Coordinated Campaigns in Twitter's Trending Topics
Joseph Schlessinger, Kiran Garimella, Maurice Jakesch +1
In addition to more personalized content feeds, some leading social media platforms give a prominent role to content that is more widely popular. On Twitter, "trending topics" iden…
Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication
Liye Fu, Benjamin Newman, Maurice Jakesch +1
Traditionally, writing assistance systems have focused on short or even single-word suggestions. Recently, large language models like GPT-3 have made it possible to generate signif…
Co-Writing with Opinionated Language Models Affects Users' Views
Maurice Jakesch, Advait Bhat, Daniel Buschek +2
If large language models like GPT-3 preferably produce a particular point of view, they may influence people's opinions on an unknown scale. This study investigates whether a langu…
Human heuristics for AI-generated language are flawed
Maurice Jakesch, Jeffrey Hancock, Mor Naaman
Human communication is increasingly intermixed with language generated by AI. Across chat, email, and social media, AI systems suggest words, complete sentences, or produce entire…
How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch, Zana Buçinca, Saleema Amershi +1
Private companies, public sector organizations, and academic groups have outlined ethical values they consider important for responsible artificial intelligence technologies. While…
Trend Alert: How a Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election
Maurice Jakesch, Kiran Garimella, Dean Eckles +1
Political organizations worldwide keep innovating their use of social media technologies. In the 2019 Indian general election, organizers used a network of WhatsApp groups to manip…