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    • Home
    • Research
    • Teaching
    • Personal
    • CV
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  • Home
  • Research
  • Teaching
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  • Experience
  • Contact

Climate Misinformation

My research delves into the intricate dynamics of climate-related facts and beliefs, focusing on the origins of misinformation within the fluid landscape of scientific evidence and evolving public perceptions. By questioning the interactions that foster online climate misinformation, I investigate the relationships and mechanisms behind its emergence.


One approach I use is through detailed case studies, such as that of Chemtrails—visible cloud formations often misconstrued as evidence of geoengineering—I analyze how misinformation first arises. My study highlights the critical role of situational context in intertwining climate beliefs, physical and digital encounters with cloud formations, and the affordances of digital technology in generating online misinformation. I uncover how repetition and replication of misinformation are significantly shaped by prior physical phenomena and visual content's contextual backdrop. 

Algorithmic Bias, Privacy, and Cybersecurity Risks and Mitigations

In this stream, I (i) explore the reasons behind the systematic and unfair treatment of protected classes by intelligent algorithms, proposing strategies for technology design and management to mitigate such biases and their impacts. and (ii) address the cybersecurity, privacy, and IT failure risks associated with Artificial Intelligence (AI), which threaten its value and performance in organizational settings. Recognizing the gap in current research, which largely concentrates on technical mitigations, my work explores organizational strategies to counter these risks. 

Link to most recently Published Paper

Digital Platform Governance

I investigate governance dynamics within platform ecosystems, adopting a comprehensive view to examine how external environmental factors influence platform and actor behaviors in reinforcing platform boundaries.  Platform governance is a well-established research area, but the influence of societal norms, regulations, and external competitive pressures on it has been underexplored. These factors can significantly affect platform policies, impacting issues like misinformation and bias on platforms. Using fuzzy-set qualitative comparative analysis (fsQCA), I develop models that elucidates the relationship between external conditions and platforms' boundary reinforcement strategies. 

Link to most recently Published Paper

Past and Upcoming Talks

The PhD Project Annual Conference - Chicago, March 21-22, 2024

Participated in workshops and roundtable talks discussing my experiences as a PhD student.

QCA Workshop at AMCIS 2023, Panama City, August 27, 2023

Presented my work on boundary reinforcement in platform governance to a QCA-methodology focused audience.


Copyright © 2023 John-Patrick Akinyemi - All Rights Reserved.

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