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Daniel Friedman: Difference between revisions
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(Created page with "{{Participant |Timezone=Asia/Jerusalem (GMT+02:00/GMT+03:00) |Affiliation=Active Inference Institute |Projects=Open Source Attention }} {{Workshop Submission |Interest=**TL;DR - open access, platform-agnostic attention-sharing** Attention data is an important and interesting signal. Platforms (e.g., Twitter, Google Scholar, Goodreads, Altmetrics) harvest large amounts of attention data, using it to drive content search and recommendation (CSR). However, this attention d...") |
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Building a prototype will allow researchers to explore basic questions around attention-sharing (e.g., scaling, incentives and privacy). A protocol, open-access approach enables interoperability across apps, avoids locking users into a particular platform and unlocks novel downstream research and development avenues for diverse CSR and social apps, not possible in today’s data ecosystems. | Building a prototype will allow researchers to explore basic questions around attention-sharing (e.g., scaling, incentives and privacy). A protocol, open-access approach enables interoperability across apps, avoids locking users into a particular platform and unlocks novel downstream research and development avenues for diverse CSR and social apps, not possible in today’s data ecosystems. | ||
|Materials=We'll submit a short reseach summary + annotated bibliography (pdf in next section) as well as a video demo of BestOfNow, a social bookmarking tool by NooNet: https://standingwave.net/img/NN/BestOfNowHowTo.mp4 | |Materials=We'll submit a short reseach summary + annotated bibliography (pdf in next section) as well as a video demo of BestOfNow, a social bookmarking tool by NooNet: https://standingwave.net/img/NN/BestOfNowHowTo.mp4 | ||
|Organizer Topics=Attention, Recommendation, Social Systems, Protocols | |||
}} | }} | ||