Seminar Note | Computational Approaches to Communication Research: theory, Methods, and Applications

date
Oct 14, 2020
slug
ccr-seminar-jonathan-zhu
status
Published
summary
Origin: Online/Digital Data + Computational Methods -> Computational Social Science -> Computational Communication ResearchDigital/Online Data
tags
Academic
Sociology
Communication
Engineering
Seminar
Study
type
Post
What's Computational Communication Rearch?
Origin: Online/Digital Data + Computational Methods -> Computational Social Science -> Computational Communication ResearchDigital/Online Data
Traditional / Offline
Digital/Online
Made Data
Survey; Experiment
Online Experiment
Found Data
Content Analysis;Archived Records
Visitor Logs; TextMining; Online Archives
Computational methodsCollectionVisitor logsWeb scrappingOnline experimentetc.ProcessingData cleaningText extractionData integrationetc.AnalysisStatistical analysisNetwork analysisMachine learningetc.VisualizationInfo …Mapping CCR to 5W Questions
Traditional
5W Questions
CCR
Survey
Communicatior and Audience
User Analytics
Content Analysis
Content and channel
Text mining
Experiment
Effects
Online experiment
ClassicsWho said what to whom on twitterMy journey to CCR
2000
2006
2008
2012
2014
2019
Internet
E-Social science
Web mining
Big data
CCR
ㅤ
Survey
ㅤ
ㅤ
ㅤ
10yrs ago, formally
ㅤ
What've we done?Mapping studies: to assess the state of art of the fieldInternet research The centrality of internet in SSCI The landscape of internet studiesE-health researchComputational communication researchCommunication researchinternationalComputaional methods: to fill in methodological gapsSampling methodsFor user-generated contentProblem: sampling to estimate the grown and decline of the UGC mediaSolution: random gigit search(RDS) method based on random gigit dialing(RDD) method sed in telephone surveyFor online social networks： probability samplingSdfsdfsEvaluation of existing sampling methodsIntegrationBetween big and small dataBetween old and new methods
Content analysis
Lab experiment
User log analytics
Source
Flickr photos
Student subjects
Smartphone users
Sample N
2000+
60
4000+
Objective
Face validity
Internal validty
External validity
Effects found
Strong but cofounded
Strong and clean
Weak and clean
  1. Networked information diffusion: to test old questions with new data
    1. Testing Agenda-setting Effects on Twitter
      1. Issue competition and attention distraction durin the first gulf war
      2. Visual analysis of issue competion on social media
  1. Mobile use analytics: to test new questions with new data
    1. Session-based Characterization of temporal patterns
    2. Sequential analysis of mobile app sessions
What are we heading to?
Knowledge Graphs
Health communication
Social media for fintech
Legal text analytics
Social media KG
eHealth
Consumer sentiment
New sources of social data
Computational ad KG
mHealth
Darknet mining
Case predictions

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