[Poscgrad] SPP Speaker

[Adam Hobbs]

Correction: *Tuesday, April 1st.*

On Thu, Mar 27, 2025 at 8:59 AM Adam Hobbs <adam.hobbs at email.ucr.edu> wrote:

> Hello everyone!
>
> I hope your Spring Break is going well. On *Monday, April 1st* the School
> of Public Policy will be hosting a research seminar with Andrew Guess, who
> is an Associate Professor of Politics and Public Affairs at Princeton
> University. Please see the email below for more information.
>
> ---------- Forwarded message ---------
> From: Adam Hobbs <adam.hobbs at email.ucr.edu>
> Date: Thu, Mar 27, 2025 at 8:56 AM
> Subject: SPP Speaker
> To:
>
>
> UCR School of Public Policy
>
> Research Seminar
> Effects of Political Recommendations on Instagram
>
>
>
> Tuesday, April 1st, 2025
>
> Location: INTN 4023
>
> 2:00 PM- 3:30 PM
>
>
>
> [image: image]
>
> Speaker
>
> Andrew Guess
>
> Associate Professor of Politics and Public Affairs, Princeton University
>
> Director of Undergraduate Studies, Department of Politics
>
> Director, Princeton Survey Research Center
>
>
> Most people are not highly interested in politics and, as such, many do
> not specifically seek out political news. Yet they may encounter such
> information incidentally on social media platforms, where posts about
> politics may still appear in users' feeds as a result of algorithmic
> recommendations. We study the role of algorithmic recommendations of
> political content at a time when prominent platforms have sought to pull
> back from politics. To do so, we take advantage of a policy shift: In
> spring 2024, Meta announced that Instagram (along with Threads) would no
> longer recommend posts about political or social topics to users from
> accounts they do not already follow. In online field experiments in the
> U.S. and Germany, we randomly assign Instagram users to opt back in to
> political recommendations and observe in follow-up surveys whether our
> participants record changes in political knowledge, emotional experiences
> with politics, and overall satisfaction with the platform. Our study,
> spanning several weeks during unusually eventful periods in both countries'
> politics, sheds light on how algorithmic choices shape citizens'
> perceptions, knowledge, and attitudes about election campaigns.
>
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