From ecc462929565f6f84426324f35d0bab9538474fe Mon Sep 17 00:00:00 2001 From: Pio Calderon Date: Mon, 21 Aug 2023 11:24:10 +1000 Subject: [PATCH] switch pio/amelie schedule --- content/reading/reading_group_schedule.csv | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/reading/reading_group_schedule.csv b/content/reading/reading_group_schedule.csv index dbb9abcf..513f7e03 100644 --- a/content/reading/reading_group_schedule.csv +++ b/content/reading/reading_group_schedule.csv @@ -30,8 +30,8 @@ Date,Presenter,Paper,Why should we care,Appear in,Repo,Blogs 31/07/2023,Jooyoung Lee,[Misleading Repurposing on Twitter](https://ojs.aaai.org/index.php/ICWSM/article/view/22139/21918),This paper defines misleading repurposing and presents evidences of such repurposed accounts in social media.,,, 7/08/2023,Frankie Yuan,[Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On Reddit](https://ojs.aaai.org/index.php/ICWSM/article/view/22149/21928),The paper looks narratives pushed by Russian state media during the start of the Russo-Ukrainian war. They propose a sentence level embedding pipeline for topic extraction. They further examine the spread of the identified narratives on reddit using semantic search.,ICWSM 2023,, 14/08/2023,Amelie Girard,,,,, -21/08/2023,Amelie Girard,,,,, -28/08/2023,Pio Calderon,[Popularity Prediction for Social Media over Arbitrary Time Horizons](https://research.facebook.com/publications/popularity-prediction-for-social-media-over-arbitrary-time-horizons/),"This paper introduces a Hawkes-based model to predict popularity of an online item at any arbitrary time horizon in the future using a combination of static features (content and user) and observed popularity growth",VLDB 2022,, +21/08/2023,Pio Calderon,[Popularity Prediction for Social Media over Arbitrary Time Horizons](https://research.facebook.com/publications/popularity-prediction-for-social-media-over-arbitrary-time-horizons/),"This paper introduces a Hawkes-based model to predict popularity of an online item at any arbitrary time horizon in the future using a combination of static features (content and user) and observed popularity growth",VLDB 2022,, +28/08/2023,Amelie Girard,,,,, 4/09/2023,Elaine Gong,,,,, 11/09/2023,Jooyoung Lee,,,,, 18/09/2023,Frankie Yuan,,,,,