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Smart Govs III: How Political Players Sway Public Opinion
1. Smart GOVs Swaying Public Opinion:
Is investigative journalism becoming part of
the infotainment?
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الذكية السياسية المنظومات
:
للترفيه؟ سلعة االستقصائية الصحافة اصبحت هل
2. The Shapes of Discussion Analysis
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3. Political Discussions
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Polarized:
- Dichotomy: with / against – left / right…
- Strong and non-negotiable positions
- High risk of conflict
- Political debate
Community Clusters:
- Different ideas, different priorities
- Social / Emotional debate
4. Garbage Crisis 2015-2016
Analysis of 200,000+ interactions on Twitter – Sep.8, 2015 to Feb. 2, 2016
Civil society groups
Community Clusters
Two major groups: IranianAffairs and KSA24
Polarized crowds
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A health/societal problem becomes a political issue, paralyzing street/civil society action
5. Resignation of PM Saad Hariri - Nov. 4, 2017
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A serious political issue becomes a joke
6. 2021 Nasri Messarra (http://nasri.messarra.com) 6
Switching
to
Emotions
Resignation of Hariri Hashtag
Community Clusters (analysis of 10,149 interactions)
Nov. 4, 2017 – 11:00 Nov. 6, 2017 – 00:00
Sharing
Emotions
7. How Serious is Serious?
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1. A judge is ignoring the public prosecutor order
2. A judge is being supported openly and physically by
supporters of a political party
3. A judge is taking investigation in her own hands,
without judicial police support
4. Mecattaf is a witness, not a criminal. And, in any case
innocent until proven guilty.
15. Conclusion
• “The reptilian brain always wins”
• The role of ONG for Investigation not to become infotainment
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Editor's Notes
Jayawant N. Mandrekar,
Receiver Operating Characteristic Curve in Diagnostic Test Assessment,
Journal of Thoracic Oncology,
Volume 5, Issue 9,
2010,
Pages 1315-1316,
ISSN 1556-0864,
https://doi.org/10.1097/JTO.0b013e3181ec173d.
(https://www.sciencedirect.com/science/article/pii/S1556086415306043)
Abstract: The performance of a diagnostic test in the case of a binary predictor can be evaluated using the measures of sensitivity and specificity. However, in many instances, we encounter predictors that are measured on a continuous or ordinal scale. In such cases, it is desirable to assess performance of a diagnostic test over the range of possible cutpoints for the predictor variable. This is achieved by a receiver operating characteristic (ROC) curve that includes all the possible decision thresholds from a diagnostic test result. In this brief report, we discuss the salient features of the ROC curve, as well as discuss and interpret the area under the ROC curve, and its utility in comparing two different tests or predictor variables of interest.
Keywords: Sensitivity; Specificity; ROC; AUC