BEGIN:VCALENDAR VERSION:2.0 PRODID:-//MIT Comparative Media Studies/Writing - ECPv5.0.0.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:MIT Comparative Media Studies/Writing X-ORIGINAL-URL: X-WR-CALDESC:Events for MIT Comparative Media Studies/Writing BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20200220T170000 DTEND;TZID=America/New_York:20200220T183000 DTSTAMP:20200207T013414 CREATED:20200128T155913Z LAST-MODIFIED:20200128T160812Z SUMMARY:Desmond Upton Patton\, “Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing” DESCRIPTION:Desmond Upton Patton\, Associate Professor of Social Work\, Columbia University \nWhile natural language processing affords researchers an opportunity to automatically scan millions of social media posts\, there is growing concern that automated computational tools lack the ability to understand context and nuance in human communication and language. Columbia University’s Desmond Upton Patton introduces a critical systematic approach for extracting culture\, context and nuance in social media data. The Contextual Analysis of Social Media (CASM) approach considers and critiques the gap between inadequacies in natural language processing tools and differences in geographic\, cultural\, and age-related variance of social media use and communication. CASM utilizes a team-based approach to analysis of social media data\, explicitly informed by community expertise. The team uses CASM to analyze Twitter posts from gang-involved youth in Chicago. They designed a set of experiments to evaluate the performance of a support vector machine using CASM hand-labeled posts against a distant model. They found that the CASM-informed hand-labeled data outperforms the baseline distant labels\, indicating that the CASM labels capture additional dimensions of information that content-only methods lack. They then question whether this is helpful or harmful for gun violence prevention. \n URL: LOCATION:MIT Building E15\, Room 318 (Common Area)\, 20 Ames Street\, Cambridge\, MA\, 02139\, United States CATEGORIES:Colloquium ATTACH;FMTTYPE=image/jpeg: GEO:42.3608068;-71.0876848 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=MIT Building E15 Room 318 (Common Area) 20 Ames Street Cambridge MA 02139 United States;X-APPLE-RADIUS=500;X-TITLE=20 Ames Street:geo:-71.0876848,42.3608068 END:VEVENT END:VCALENDAR