Loading presentation...

Present Remotely

Send the link below via email or IM

Copy

Present to your audience

Start remote presentation

  • Invited audience members will follow you as you navigate and present
  • People invited to a presentation do not need a Prezi account
  • This link expires 10 minutes after you close the presentation
  • A maximum of 30 users can follow your presentation
  • Learn more about this feature in our knowledge base article

Do you really want to delete this prezi?

Neither you, nor the coeditors you shared it with will be able to recover it again.

DeleteCancel

Make your likes visible on Facebook?

Connect your Facebook account to Prezi and let your likes appear on your timeline.
You can change this under Settings & Account at any time.

No, thanks

OSCAR PISTORIUS

My presentation at the 14th AoIR Conference (Denver, Oct 2013). Paper's title: Oscar Pistorius and the death of Reeva Steenkamp: mapping public opinions on Twitter using frame analysis and data mining. Authors: Ana Vimieiro and Renato Vimieiro
by

Ana Vimieiro

on 12 September 2016

Comments (0)

Please log in to add your comment.

Report abuse

Transcript of OSCAR PISTORIUS

OSCAR PISTORIUS
AND THE DEATH OF REEVA STEENKAMP
Mapping public opinions on Twitter using frame analysis and data mining
Frame Analysis
Methods
Results
Next steps
Ana Vimieiro (QUT) | @carolvimieiro
Renato Vimieiro (UoN) | @rvimieiro

Origins: sociology and cognitive psychology
(Goffman, 1974; Kahneman and Tversky, 1984)
Expressions used to talk about frames: point of view, bias, interpretation scheme etc.

Frames are referential guidelines, socially constructed, that are triggered by
people to give meaning to events and social situations.

Definition
Abortion:
killing unborn human life
vs.
free choice
Disability:
personal problem
vs.
societal issue
Obesity:
behavioral
,
genetic
or
societal problem

Examples
Holistic variable
[ ] behavioral
[ ] genetic
[ ] societal
Textual
Syntactic approach (LDA)
Unsupervised
Data-reduction
techniques
(elements)
Coding step
Downs, 2002
Lawrence, 2004
Terms and expressions
Miller and Riechert, 2001; Miller, 1997; Koenig, 2006, 2004

Traditional frame analysis techniques
Semantic + clustering techniques
Coding with less subjective
categories
Sources
Causes
Solutions
Consequences
Metaphors
Slogans
Examples
Moral judgements
Matthes and Kohring, 2008 Entman, 1993
Gamson and Modigliani, 1989
Vimieiro and Maia, 2011
Clustering
techniques
Digital/unsupervised methods can help
(sub)topic (CTM/correlated topic model)
Blei and Laferty, 2007

source (users' bios and shared urls)
Other categories
Coding everything (?!)
Semi-supervised approach
Techniques
Manual
Coding
Training
set
Test
set
Snippets coded in the training set are used to construct a model for each variable
Labels attributed by each model are compared with codes manually labeled
Application to the entire dataset
Clustering to find frames
1.5 million (02/14 - 03/01)
800 unique tweets (155,013)

Manual
Coding
Snippets coded in the training set are used to construct a model for each variable
Category:
Cause
CA01: Personal causes
CA02: Satirical causes
CA03: Social causes
CA04: Tragic causes
Models are used to predict each variable in the test set
Prediction
Precision
krippendorff's alpha
CA01
88.88%
0.706
CA02
91.66%
0.720
CA03
94.44%
0.824
CA04
90.27%
0.756
Models are used to predict each variable in the test set
Labels attributed by each model are compared with codes manually labeled
Frames
Application to the entire dataset
Clustering to find frames
Create models for all categories
Clustering (frame) with the whole population
Add shared urls (domains) as an additional info for the category 'source'
Manually label random tweets
rt @piersmorgan: and yes,
south africa has even worse gun violence than america and has to do something urgently about it
#pistorius
Weka - C4.5
Satirical
Frame 01
Frequent itemsets
Topic 01: Jokes
Solution 05: Satirical (eg. he had no arms)
Source 05: Comedians, parody accounts
Cause 02: Satirical (eg. socks for VDay)
Blei, D. M., & Lafferty, J. D. (2007). A correlated topic model of science. The Annals of Applied Statistics, 17-35.
Downs, D. (2002). Representing Gun Owners Frame Identification as Social Responsibility in News Media Discourse. Written Communication, 19(1), 44-75.
Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of communication, 43(4), 51-58.
Gamson, W. A., & Modigliani, A. (1989). Media discourse and public opinion on nuclear power: A constructionist approach. American journal of sociology, 1-37.
Goffman, E. (1974). Frame analysis: An essay on the organization of experience. Harvard University Press.
Kahneman, D., & Tversky, A. (1984). Choices, values, and frames. American psychologist, 39(4), 341.
Koenig, T. (2006). Compounding mixed-methods problems in frame analysis through comparative research. Qualitative Research, 6(1), 61-76.
Lawrence, R. G. (2004). Framing Obesity The Evolution of News Discourse on a Public Health Issue. The Harvard International Journal of Press/Politics, 9(3), 56-75.
Maia, R., & Vimieiro, A. C. (2013). Recognition and Moral Progress: A Case Study about Discourses on Disability in the Media. Political Studies.
Matthes, J., & Kohring, M. (2008). The content analysis of media frames: Toward improving reliability and validity. Journal of Communication, 58(2), 258-279.
Miller, M. M., & Riechert, B. P. (2001). The spiral of opportunity and frame resonance: Mapping the issue cycle in news and public discourse. Framing public life: Perspectives on media and our understanding of the social world, 107-121.
Miller, M. M. (1997). Frame mapping and analysis of news coverage of contentious issues. Social Science Computer Review, 15(4), 367-378.
Vimieiro, A. C., & Maia, R. C. M. (2011). Análise indireta de enquadramentos da mídia: uma alternativa metodológica para a identificação de frames culturais. Revista FAMECOS: mídia, cultura e tecnologia, 18(1).
Available at:
http://prezi.com/gzimqzoptl52

References
Full transcript