Patrick Gildersleve
@pgildersleve
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Lecturer (Asst Prof) in Communications and AI @ExeterComms Prev. @MethodologyLSE, PhD @oiioxford Wikipedia, News, Attention he/him 🔗🌳 https://t.co/tykRSzWJoD
Oxford, England
Joined March 2009
📄 Excited to share a new dataset preprint! WikiReddit: Tracing Information and Attention Flows Between Online Platforms A collaboration with Anna Beers, Viviane Ito, Agustin Orozco, and @ftripodi at @unc_citap.
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I am trying to move what’s left of my online presence away from what’s left of Twitter/X. You can find out more about the project, and links to the paper / dataset in my posts on BlueSky: https://t.co/5YdokA7tMp LinkedIn:
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🚨REMINDER: 4-year fully funded PhD in HCI 🚨 I'm recruiting a PhD student for @dilab_uva at @UvA_Amsterdam to work on inclusive design with AI! 🔗 https://t.co/5AbaqlRB0e I welcome applications from those with technical skills from professional experience.
🚨Fully-Funded PhD Opportunity!🚨 I'm recruiting a PhD student at @UvA_Amsterdam to work on inclusive design with Artificial Intelligence! 🔗 https://t.co/5AbaqlRB0e If you’re passionate about AI and its impact on society, this is for YOU. 🧵What you need to know 👇
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Twitter is dying but before we all leave, just want to flag that I’m on the lookout for roles in the broad spectrum of research/writing/policy on technology and society. Keen to chat to anyone who can help out or direct me to something! (Bonus photo of me for the algorithm)
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Glad to see such insightful work by @flora_boe & @pgildersleve quantitatively assessing The Comment Gap in @derStandardat! Understanding how journalists and audiences value online news comment sections is key to fostering productive discussions in journalistic spaces 🧵👇
🚨New preprint! 📰The News Comment Gap and Algorithmic Agenda Setting in Online Forums w/@flora_boe We study: 1) The differences in comment preferences between journalists and readers 2) How comment ranking algorithms prioritise different kinds of comments to display to users🧵
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📖To find out more, check out the following: 🔗Preprint link: https://t.co/BQKuGi5ITf 🐍Try FORUM in Python: https://t.co/cyw7hmwliT 🌟Finally, big thanks to @flora_boe, this project came out of her prizewinning work @lsemethodology!
github.com
Contribute to pgilders/pyforum development by creating an account on GitHub.
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🗣️Understanding these preferences and algorithmic consequences is vital in fostering healthy discussion online and of clear interest to journalists presenting their stories This is especially important given the increasing scrutiny of online speech and how it is hosted/moderated
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💪We thus argue editors can exercise agenda setting power in comment sections through curational and algorithmic means The effects on how audience reception to an article is represented by ranking algorithms are larger than those from more traditional measures (e.g. Editor Picks)
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🔍With FORUM, we find dramatic differences in how different, even simple, algorithms prioritise different kinds of comments, as measured by their sentiment, readability, lexical diversity, and similarity to the article
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🛠️FORUM is a versatile, interpretable tool that can be applied to any task of scoring how well a set of items are sorted, far more than just news comments!
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📈We develop the Feature-Oriented Ranking Utility Metric (FORUM 🥁) to evaluate how well a ranking algorithm (most upvoted, chronological, etc) returns comments by a certain feature (sentiment, readability, etc) compared to best/worst-possible and random baseline
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🕵️With data from @derStandardat, we find, compared to readers, journalists prefer more positive, timely, complex, direct responses, while readers favour comments similar to article content from elite authors
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👨🏫I presented this work @IC2S2 2024 🐍Try our FORUM score for evaluating ranking algorithms in Python: https://t.co/cyw7hmwliT 🔗Read the preprint:
arxiv.org
The disparity between news stories valued by journalists and those preferred by readers, known as the "News Gap", is well-documented. However, the difference in expectations regarding news related...
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🚨New preprint! 📰The News Comment Gap and Algorithmic Agenda Setting in Online Forums w/@flora_boe We study: 1) The differences in comment preferences between journalists and readers 2) How comment ranking algorithms prioritise different kinds of comments to display to users🧵
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Excited to be at @IC2S2 2024! I’ll be presenting “The News Comment Gap and Algorithmic Agenda Setting in Online Forums” in session 3C, Friday 11am. Say hi if you want to connect👋
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@tsvetkovadotme , @pgildersleve and I are teaching an LSE summer school course on social #network analysis in July/August! Send interested students our way!
lse.ac.uk
This course covers the fundamentals of network structures, network data structures, and the analysis and presentation of network data.
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Delighted to share that I will be starting as Lecturer (≈ TT Asst Prof) in Communications and Artificial Intelligence at @UniofExeter this September. Looking forward to this new chapter! 🥳
ExeterComms is excited to announce the arrival of new staff! First up, Dr. Patrick Gildersleve @pgildersleve will be joining us in September from @MethodologyLSE as Lecturer in Communications and Artificial Intelligence, with a PhD from @oiioxford 🤖💻
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📣 The Call for papers for the 11th @wikiworkshop is out! Submit your 2-page extended abstracts by April 22. All submissions are non-archival! More info: https://t.co/OGSYCrLJ5x
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Spent today teaching this classic graph in our Social Network Analysis class @MethodologyLSE. Surreal seeing it doing the rounds on here. Clearly a great discussion starter!
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Featuring a question contributed by yours truly! 🎅
📣🎄🎅🤶The 2023 RSS Christmas Quiz has landed, and we have a bumper 30th anniversary special edition! How many of this year's fiendishly challenging puzzles can you crack? Submit your answers by 29 January https://t.co/mpyLtbNlZS
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