Fenwick McKelvey
Fenwick McKelvey is an associate professor at Concordia University specializing in social media policy and algorithms. His research delves into the implications of algorithmic recommendations on user experience, particularly the phenomenon known as the 'cold-start problem,' where platforms provide random content to determine user preferences. McKelvey's insights highlight the challenges and consequences of algorithm-driven content curation in contemporary digital landscapes.
Global Media Ratings
Countries Mentioned
| Country | Mentions | Sentiment | Dominance | + Persistence | x Population | = Reach | x GDP (millions) | = Power |
|---|---|---|---|---|---|---|---|---|
| Canada | 1 | 6.00 | 0.16% | +0% | 38,005,238 | 62,406 | $1,700,000 | 2,791$ |
| Totals | 1 | 38,005,238 | 62,406 | $1,700,000 | 2,791$ |
Interactive World Map
Each country's color is based on "Mentions" from the table above.
Recent Mentions
Canada:
Fenwick McKelvey highlighted the need for serious discussions on AI regulation in Canada.
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Canada:
Fenwick McKelvey, an associate professor in information and communication technology policy at Concordia University, says CJF’s survey results are aligned with Canadians’ general distrust of AI.
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Canada:
Fenwick McKelvey is an associate professor at Concordia University who studies social media policy and algorithms.
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