Author: dayuan1

Thanks to our special invited speaker Prof. Manas Gaur, and all participants. We successfully hosted the ACM Talk on 2/20/2023.

Title: Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe

Speaker: Prof. Manas Gaur, UMBC

Slides: Please check out the slides here:

Flyer

Event Pictures

Thanks to our special invited speaker Dr. Xuezhi Cang, our advisor Prof. Finin and all participants.

You are invited to ACM Talk & Hi-Tea! Join us to learn more and connect with faculty, staff, students and treat yourself to coffee, tea and snacks! 

Location: In Person: ITE 325b (the speaker will present in person); Virtual: https://umbc.webex.com/meet/dayuan1
Time: Dec. 7th 2022, Wednesday, 11:15am to 12:50pm

ACM Talk: Modeling and Assessing Association by Comparing Spatial Heterogeneity
Speaker: Dr. Xuezhi Cang, UMBC. 
Abstract:Measuring spatial association between different spatial layers is important in spatial data modeling. Traditionally, the relationship between variables can be measured by linear regression. The assumptions of those traditional methods are hard to meet in the spatial data. Also, the traditional statistical methods do not consider Tobler’s First Law of Geography which is an important spatial data property. To address these drawbacks, I propose a spatial data association estimator (termed as SPatial Association DEtector, SPADE). By comparing the spatial heterogeneity, this estimator, which evolved from a variance-based relation estimator, explicitly considers the spatial variance by assigning the weight of the influence based on spatial distribution. It also overcomes the drawback of its old version which can only measure the association between continuous and discrete variables. This method has been applied to estimate the influence of the environmental factors and their outcome (e.g. junction angle and environmental factors). The associations between environmental factors and junction angles have been used to infer the paleoenvironment of Mars; they showed that Mars was probably “warm” and “wet” several billion years ago. The method could also be used in human geography and social science to estimate the importance of spatial factors and their outcome. 

Please also check out our attached flyer.
Sincerely,

Dayuan

————
Dayuan Tan
President, Association for Computing Machinery (ACM) UMBC Chapter
dayuan1@umbc.edu, https://dayuantan.github.io/AboutMe/  

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Thank our special invited speaker Guohou(Jack) Shan from Temple University and all participants who joined in person or virtually!

You are invited to ACM Talk & Hi-Tea! Join us to learn more and connect with faculty, staff, students and treat yourself to coffee, tea and snacks! 

Location: In Person: ITE 346; Virtual: https://umbc.webex.com/meet/dayuan1
Time: Nov. 22 2022, Tuesday, 11am to 12:50pm

ACM Talk: How Does Fact-checking Affect News Engagement on Social Media Platforms: A Multi-method Study

Speaker: Guohou(Jack) Shan, PhD Candidate at Temple University. UMBC Alumni’2019. 

Abstract: Social media platforms have begun to counter false news by integrating fact-checking services. These fact checkers verify posts’ content and inform users about the posts’ veracity before engaging with them. While the efficacy of fact-checking on users has been studied in prior literature, little attention has been paid to the factors that determine the effectiveness of fact-checking (e.g., fact-checking timeliness or reputation of the poster) to sway user reactions. Our multi-method study leverages the high external validity of observational data from Twitter (Study 1) complemented by the high internal validity of experimental data (Study 2) to build insights into how fact-checking methods and poster attributes affect news engagement (i.e., willingness to read, talk, comment, and share). We find when fact-checking flags news as false significantly decreases news engagement and that fact-checking timeliness and poster reputation moderate the effect of fact-checking. Moreover, we find that fact-checking affects news engagement by influencing users’ evaluation of the news believability and shareability. Our findings enrich the understanding of the impact of fact-checking on users’ engagement with news and suggest managerial implications for reducing false news engagement.   

How long haven’t you catch up with your schoolmates, colleagues, friends from other labs, classes, offices? Let’s all walk out our labs, classes, offices! And enjoy a cozy and causal lunchtime together with refreshments! 

This is a great opportunity to socialize, network, explore ideas, collaborate and treat yourself to coffee, tea and snacks while you’re at it! Faculty, staff and especially students are encouraged to participate.

Location : ITE 346 

Time: Oct. 28^th 2022, Friday, 12pm to 12:50pm 

Hosted by: ACM

Hope to see you all there!

Call for poster: We have a big screen! Do you want to 

showcase your research, get more exposure? Throw us an email J

ACM UMBC and CSEE Department

Please email ‘acm@umbc.edu’ with any questions regarding this event.