Responsible Engagement with AI, Culture and Technology (REACT)

ERMeCHS research cluster
REACT research cluster

Developments in new information and communication technologies have produced a number of possibilities and positive advantages alongside numerous significant concerns and disadvantages. These are related to personal, social, political and economic life. To engage responsibly with these technologies, the REACT research cluster strives to imagine, create, and maintain safe, ethical, equitable engagement with technologies to work towards positive social futures. From a technology's lifecycle to its circulation in and interaction within differing cultures and their potential for social impact, we identify the ways research can contribute to the mitigation of problematic technological development or implementation. 

The focus of our research includes cultural, social, historical, political, and ethical issues connected to digital media practices, the management and protection of data, the proliferating use of artificial intelligence, increasing trends of digitalisation, potential for technological bias, intersectional history of differences in access to privacy and data protection, privacy negotiations, various forms of surveillance, and (cyber) security approaches and challenges. 

Sample Updates for Fall/Spring REACT 2024

The REACT research cluster focuses on responsible engagement with technologies for positive social futures. To showcase the work of the cluster, we would like to share current and upcoming solo and collaborative publications and speaking events from its members for the fall and spring. Topics range from AI, to social media, privacy management, doxing and denunciation, natural language processing, gig workers, the social implications of quantum technologies, and more.

De Keyzer, F., Buzeta, C., Lopes, Ana Isabel (online first). The role of well-being in consumer's responses to personalized advertising on social media. Psychology & Marketing, 1-17.

Hofhuis, J., Gonçalves, J. Schafraad, P., & Wu, B. (2024). Examining strategic diversity communication on social media using supervised machine learning: Development, validation and future research directions. Public Relations Review, 50(1).

Le, P.H. (2024, April 8-9). Gig worker community identification and resistance to surveillance and control Conference presentation]. Dutch Surveillance Studies: AI-Experiences and Public Safety, Rotterdam, Netherlands

Mols, A., Pereira Campos, J. & Gonçalves, J.  (2024) “Those blimmin Ts and Cs”: A mixed methods analysis of how people manage personal information, privacy, and impressions. Human–Computer Interaction.

Oomen, T., Gonçalves, J., & Mols, A. (2023). Rage against the artificial intelligence? Understanding contextuality of algorithm aversion and appreciation. International Journal of Communication, 18(25).

Palacios Barea, M.A., Boeren, D. & Ferreira Goncalves, J.F. (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. AI & Soc

Trottier, D. (2024, April 1).  Doxing and denunciation: Unpacking the court of public opinion [Invited lecture]. Yale University Program on Peace and Development: Disentangling Disinformation, New Haven, CT (Online), United States.

Trottier, D., Huang, Q., Gabdulhakov, R. (2024 June). Digital media, denunciation and shaming: The Court of public opinion. Routledge.

Young, S., Brooks, C., & Pridmore, J. (2024). Societal implications of quantum technologies through a technocriticism of quantum key distribution. First Monday, 29(3).

Young, S. (2024, April 8-9). Creating better AI with ethics of care, trust, and empathy [Conference presentation]. Dutch Surveillance Studies: AI-Experiences and Public Safety, Rotterdam, Netherlands.

Young, S. & McCreery, F. (2024). Superheroes and digital perspectives: Super data. Lexington Press.


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