Biography
João Gonçalves is Associate Professor in the Department of Media and Communication at Erasmus University Rotterdam (Netherlands). His research relates to artificial intelligence, democracy and the impacts of digitalization. He investigates topics such as online hate speech, discrimination from artificial intelligence algorithms and developed the Erasmian Language Model, an open-source and sustainable alternative to ChatGPT. Together with Jason Pridmore, he was awarded the Horizon Europe SEISMEC (Supporting European Industry Success Maximization through Empowerment Centered development) project funded with 10 million euros by the European Commission, leading a consortium of 31 partners in 17 countries. He also received a VENI talent grant worth €280,000 from the Dutch Research Council to investigate data quality in artificial intelligence using social science methods. He has published in international journals such as New Media & Society, Journalism, Journal of Computer-Mediated Communication, Political Communication and AI & Society. He is also co-lead theme for The Digital Society in the SSH-Breed programme.
Erasmus School of History, Culture and Communication
More information
Work
- Anouk Mols, Jorge Pereira Campos & João Fernando Ferreira Gonçalves (2024) - “Those blimmin Ts and Cs”: a mixed methods analysis of how people manage personal information, privacy, and impressions - doi: 10.1080/07370024.2024.2325340 - [link]
- Joep Hofhuis, Joao Fernando Ferreira Goncalves, Pytrik Schafraad & Biyao Wu (2024) - Examining strategic diversity communication on social media using supervised machine learning: Development, validation and future research directions - doi: 10.1016/j.pubrev.2024.102431
- Magdalena Wojcieszak, Ericka Menchen-Trevino, Bernhard Clemm von Hohenberg, Sjifra de Leeuw, João Gonçalves, Sam Davidson & Alexandre Gonçalves (2024) - Non-News Websites Expose People to More Political Content Than News Websites: Evidence from Browsing Data in Three Countries - doi: 10.1080/10584609.2023.2238641 - [link]
- Tessa Oomen, Joao Fernando Ferreira Goncalves & Anouk Mols (2024) - Rage Against the AI? Understanding Contextuality of Algorithm Aversion and Appreciation
- M. A. Palacios Barea, D. Boeren & J. F. Ferreira Goncalves (2023) - At the intersection of humanity and technology: a technofeminist intersectional critical discourse analysis of gender and race biases in the natural language processing model GPT-3 - doi: 10.1007/s00146-023-01804-z - [link]
- João Gonçalves & Ina Weber (2023) - Algorithmic moderation: Contexts, perceptions, and misconceptions - doi: 10.4337/9781803928562.00055 - [link]
- Gina M. Masullo, Claudia Wilhelm, Taeyoung Lee, Joao Fernando Ferreira Goncalves, Martin J Riedl & Natalie J Stroud (2022) - Signaling news outlet trust in a Google Knowledge Panel: A conjoint experiment in Brazil, Germany, and the United States - doi: 10.1177/14614448221135860
- Magdalena Wojcieszak, Ericka Menchen-Trevino, Joao Fernando Ferreira Goncalves & Brian Weeks (2022) - Avenues to News and Diverse News Exposure Online: Comparing Direct Navigation, Social Media, News Aggregators, Search Queries, and Article Hyperlinks - doi: 10.1177/19401612211009160 - [link]
- Jane Cronin, João Fernando Ferreira Gonçalves, Magdalena Wojcieszak, Bernhard Clemm von Hohenberg & Ericka Menchen-Trevino (2022) - The (null) over-time effects of exposure to local news websites: Evidence from trace data - doi: 10.1080/19331681.2022.2123878 - [link]
- Jorge Pereira Campos, Joao Fernando Ferreira Goncalves & Jason Pridmore (2022) - Data Donation as e-Participation: How Citizens Construct the Risks of Donating Personal Data to Smart Cities
Master Class
- Year Level
- MA, MA, MA, MA, MA
- Year
- 2023
- Course Code
- CM4500
Unboxing the Algorithms
- Year Level
- MA, MA
- Year
- 2023
- Course Code
- CM4606
Master Thesis
- Year Level
- MA, MA, MA, MA, MA
- Year
- 2023
- Course Code
- CM5000
ArtificiaI Intelligence and Societal Imp
- Level
- Minor
- Year Level
- Minor
- Year
- 2023
- Course Code
- CM9007
Media and Business Transformations
- Level
- MA
- Year Level
- MA
- Year
- 2023
- Course Code
- CM4101