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SOCIAL MEDIA
RESEARCH
 Social media research
refers to a set of tools and
techniques of extracting
and analyzing data from
social media channels and
the Internet.
 Learn how social information flows in different channels,
target groups of individuals and/or geographical areas.
 Identify new topics and trends in people’s interactions.
 Gain insight of consumers' sentiments, attitudes,
opinions, and thoughts about one or more specific issues
 Gain insight into organization’s communication
strategies, actions and other aspects with regard to one
or more specific issues.
 Have a real-time overview of people’s reactions
during an episodic events.
 Monitor consumers' reactions to a recurrent or chronic
event sduring an extended period in time.
 Identify potential influencers and opinion makers across
the main social media platforms.
1.
INTERVIEWS
2.
SURVEYS
DATA
FROM
HUMAN
SUBJECT
1.
CONTENT
ANALYSIS
2.
DATA
MINING
DATA
FROM
SOCIAL
MEDIA
SURVEY
INTERVIEWS
DATA MINING
 Classical Techniques: Clustering
 Data, counting and probability
 Histograms
EXAMPLE
ID Name PredictionAge views time Gender
1 Amy No 62 0 Medium F
2 Al No 53 1,800 Medium M
3 Betty No 47 16,543 High F
4 Bob Yes 32 45 Medium M
5 Carla Yes 21 2,300 High F
6 Carl No 27 165 Low F
8 Don Yes 46 0 High M
9 Edna Yes 27 500 Low F
10 Ed No 68 1,200 Low M
THANK YOU

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Social media research

  • 2.
  • 3.  Social media research refers to a set of tools and techniques of extracting and analyzing data from social media channels and the Internet.
  • 4.  Learn how social information flows in different channels, target groups of individuals and/or geographical areas.  Identify new topics and trends in people’s interactions.  Gain insight of consumers' sentiments, attitudes, opinions, and thoughts about one or more specific issues  Gain insight into organization’s communication strategies, actions and other aspects with regard to one or more specific issues.
  • 5.  Have a real-time overview of people’s reactions during an episodic events.  Monitor consumers' reactions to a recurrent or chronic event sduring an extended period in time.  Identify potential influencers and opinion makers across the main social media platforms.
  • 9.  Classical Techniques: Clustering  Data, counting and probability  Histograms EXAMPLE ID Name PredictionAge views time Gender 1 Amy No 62 0 Medium F 2 Al No 53 1,800 Medium M 3 Betty No 47 16,543 High F 4 Bob Yes 32 45 Medium M 5 Carla Yes 21 2,300 High F 6 Carl No 27 165 Low F 8 Don Yes 46 0 High M 9 Edna Yes 27 500 Low F 10 Ed No 68 1,200 Low M