computer science and journalism: two great tastes that taste great together
DESCRIPTION
Computer science and journalism are intersecting in surprising ways. Computational journalism combines classic journalistic values of storytelling and public accountability with techniques from computer science, statistics, the social sciences, and the digital humanities. This talk will be a lightning overview of the state of the art in this rapidly developing field, including work being done here at the Journalism and Media Studies Center at HKU. For the full talk video and notes, see http://jmsc.hku.hk/courses/jmsc6041spring2013/TRANSCRIPT
Computer Science and Journalism Two great tastes that taste great together
February 4, 2013
WORDS vs. NERDS
ComputaHonal Journalism: DefiniHons
“Broadly defined, it can involve changing how stories are discovered, presented, aggregated, moneHzed, and archived. ComputaHon can advance journalism by drawing on innovaHons in topic detecHon, video analysis, personalizaHon, aggregaHon, visualizaHon, and sensemaking.” -‐ Cohen, Hamilton, Turner, Computa(onal Journalism
ComputaHonal Journalism: DefiniHons
“Stories will emerge from stacks of financial disclosure forms, court records, legislaHve hearings, officials' calendars or meeHng notes, and regulators' email messages that no one today has Hme or money to mine. With a suite of reporHng tools, a journalist will be able to scan, transcribe, analyze, and visualize the paVerns in these documents.” -‐ Cohen, Hamilton, Turner, Computa(onal Journalism
CS for reporHng
Data ReporHng
User
Computer Science
visualizaHon, staHsHcs, natural language processing, graph theory
OpenLand Data Map, JMSC Data Lab
CS for presentaHon
Data ReporHng
User
CS CS
visualizaHon, interacHvity, web applicaHons, user interface design
Graph of poliHcal book sales during 2008 U.S. elecHon, by orgnet.org From Amazon "users who bought X also bought Y" data.
Retweet network of poliHcal tweets. From Conover, et. al., Poli(cal Polariza(on on Twi<er
CS for filtering
User
Data ReporHng
CS
Data ReporHng
CS
Data ReporHng
CS
Filtering
CS CS
CS
CS
natural language processing, machine learning, social so`ware
Memetracker by Leskovic, Backstrom, Kleinberg
CS for tracking effects
User
Data ReporHng
CS
Data ReporHng
CS
Data ReporHng
CS
Filtering
CS CS
CS
CS
Effects
CS
big data, visualizaHon, natural language processing, bioinformaHcs
Four Places Journalism Needs CS
ReporHng
PresentaHon Filtering Tracking
Natural Language Processing
Data Science
Sociology
ArHficial Intelligence
CogniHve Science StaHsHcs
Graph Theory
Clustering
Text Analysis
Filter Design
Social Network Analysis
Knowledge RepresentaHon
Drawing Conclusions
InformaHon Retrieval
TruthTeller, Washington Post
Sina Weibo Crypt, JMSC Data Lab
WORDS and NERDS
Data Journalism Handbook + Computa(onal Journalism lectures