[UCR_DataScience] REMINDER: Data Science talk by Prof. Emiliano De Cristofaro, Friday April 19th, 12-1pm, MRB Seminar Room

[tsotras at cs.ucr.edu]

Reminder for our DS Seminar tomorrow Friday at noon. Please use the link
below to register if you plan to attend.

Sincerely,
V. Tsotras

---------------------------- Original Message ----------------------------
Subject: [UCR_DataScience] Data Science talk by Prof. Emiliano De
Cristofaro, Friday April 19th, 12-1pm, MRB Seminar Room
From:    tsotras at cs.ucr.edu
Date:    Sat, April 13, 2024 7:57 pm
To:      datascience at lists.ucr.edu
--------------------------------------------------------------------------

We will have a Data Science seminar this Friday, April 19th, 12:00-1:00pm
at the MRB Seminar Room (1st floor).

**** Pizza and refreshments will be provided ****

To keep track of the number of attendees, please *register* at:
https://www.eventbrite.com/e/data-science-talk-tickets-882788332667

The talk will be given by Prof. Emiliano De Cristofaro, Dept. of Computer
Science and Engineering, UCR

TITLE:
"LAMBRETTA: Learning to Rank for Twitter Soft Moderation"


ABSTRACT:
To curb the problem of false information, social media platforms like
Twitter started adding warning labels to content discussing debunked
narratives, with the goal of providing more context to their audiences.
Unfortunately, these labels are not applied uniformly and leave large
amounts of false content unmoderated. This talk presents LAMBRETTA, a
system that automatically identifies tweets that are candidates for soft
moderation using Learning To Rank (LTR). We run LAMBRETTA on Twitter data
to moderate false claims related to the 2020 US Election and find that it
flags over 20 times more tweets than Twitter, with only 3.93% false
positives and 18.81% false negatives, outperforming alternative
state-of-the-art methods based on keyword extraction and semantic search.

Overall, LAMBRETTA assists human moderators in identifying and flagging
false information on social media (PDF:
https://arxiv.org/pdf/2212.05926.pdf)


------------------------------------
Sponsored by the UCR Data Science Center, the purpose of the Data Science
Seminars is to foster collaborations between "core" Data Science faculty
(from CSE/ECE/Stat Departments) and faculty/visitors from other sciences
that face Data Science problems in their research. These informal
gatherings are open to interested faculty and graduate students. Each
meeting will start with a talk describing research problems and then a
discussion will follow for questions, open problems, ideas for possible
collaborations etc.

A full list of previous seminars appears at:
http://datascience.ucr.edu/seminars

Forward this email to other colleagues or graduate students in your lab
that may be interested. Moreover, if you are interested in giving a Data
Science related talk, please contact me (tsotras at cs.ucr.edu).

Sincerely,
Vassilis Tsotras
Professor, CSE Department
co-Director, Data Science Major
Director, MS in Computational Data Science