1. “Just watched cyberbully-- it's annoying. Why would she kill herself? It's not worth it. Life is shit so deal with it :P” coded as negative “All the best to the retired players suffering from CTE. Spread the word so we can make the game safer.” coded as positive “New LGBT Research Study on same sex weddings [link]” coded as positive

2. Enthusiastic (E) Passive (P) Non-Supportive (NS) Supportive (S)

3. Create SentiNets Dashboard User RankingsUser NetworksWord CloudsGeo-location Scores Test Prediction on new data Legalize MarijuanaLegalize Prostitution Train Classifier Enthusiastic/PassiveSupportive/Non-Supportive Annotate Tweets using Codebook Enthusiastic/PassiveSupportive/Non-Supportive Build Codebook Collect Tweets CTE in NFLCyberbullyingLGBT

4. CategoryInter Coder ReliabilityAccuracy (SVM) Enthusiastic v/s Passive93 %79.0749 % Supportive v/s Non - Supportive 85 %76.652 % 1500 Coded Tweets Refined Codebook for Social Causes Features used in classifier # of Emoticons# of URLS# of Mentions# of Hashtags Word Features # of Double Quotes Length of Tweets

5. “Just watched cyberbully-- it's annoying. Why would she kill herself? It's not worth it. Life is shit so deal with it :P” coded as Enthusia stic & Non- Supportiv e “All the best to the retired players suffering from CTE. Spread the word so we can make the game safer.” coded as Enthusias tic & Supportiv e “New LGBT Research Study on same sex weddings [link]” coded as Passive & Supportiv e

6. Confusion Matrices for sentiment classes for Legalize Marijuana and Legalize Prostitution

7. Node Color: HashTags or User Node Size: Occurrence Label Size: Sentiment Measure Support Sentiment based Networks for Global Warming Enthusias m

8. LabelType Weigh t Twee t Coun t EP Cou nt SNS Cou ntEP_ClassSNS_ClassDegreeTop in Class Sorted by Weights damnitstrueUSER910-91 PASSIVE NON_SUPPOR TIVE92 sloneUSER510-5149PASSIVESUPPORTIVE54SUPPORTIVE tcot HASHTA G500-4844PASSIVESUPPORTIVE56SUPPORTIVE Sorted by Number of Tweets ElectedMo b USER99-91PASSIVE NON_SUPPOR TIVE 2 thomasj174 31826USER765-5 ENTHUSIAS TICSUPPORTIVE11ENTHUSIASTIC NotCMBurn sUSER6626 ENTHUSIAS TICSUPPORTIVE4ENTHUSIASTIC User Rankings in Sentiment based Networks for Global Warming

9. http://context.lis.illinois.edu

10. SENTINETS Enthusiasm and Support: Alternative Sentiment Classification for Social Movements on Social Media Shubhanshu Mishra, Sneha Agarwal, Jinlong Guo, Kirstin Phelps, Johna Picco, Jana Diesner { smishra8, sagarwa8, jguo24, kphelps, picco2, jdiesner }@illinois.edu iSchool at University of Illinois at Urbana-Champaign More details at: http://people.lis.illinois.edu/~smishra8/sentinets.phphttp://people.lis.illinois.edu/~smishra8/sentinets.php