Analyzing Metrics to measure political engagment

Transcript

1. Alternative Metrics for Political Engagement during Political Elections Pol-Cup
2. OUTLINE • BACKGROUND • PROBLEM DEFINITION • DELIVERABLE • POSSIBLE IMPROVEMENTS
3. BACKGROUND
4. BACKGROUND
5. BACKGROUND • TWITTER CAN BE AN INSTRUMENT TO DETECT PEOPLE'S OPINION WHEN THE OCCURRENCE OF POLITICAL EVENTS • CAMPAIGN • POLITICAL SPEECH
6. PROBLEM DEFINITION • WHAT ARE THE CURRENT WAYS THAT POLITICAL CAMPAIGNS MEASURE ENGAGEMENT ON SOCIAL MEDIA? ARE RETWEET COUNTS A SUITABLE MEASURE FOR ENGAGEMENT? USING THE SOCIAL DATA PROVIDED, RESEARCH ALTERNATIVE APPROACHES TO MEASURING POLITICAL ENGAGEMENT.
7. ELABORATING PROBLEM DEFINITION • WE IMAGINE OURSELVES AS POLITICAL CONSULTANT TO MAKE SURE OUR CLIENTS (POLITICIANS) SUCCEED IN DELIVERING MOST EFFECTIVE CAMPAIGN SPEECH/RALLY • WE ARE DOING IT BY MEASURING HOW ENGAGED PEOPLE WITH THE POLITICAL SPEECH FROM POLITICIANS DURING CAMPAIGN/RALLY • THIS IS DONE BY DETECTING MOST FREQUENT WORDS TWEETED BY ATTENDANTS AND APPLY SENTIMENT ANALYSIS ON THOSE WORDS • BY KNOWING WHICH WORDS GENERATE POSITIVE SENTIMENTS, WE CAN ADVISE POLITICIANS TO CONSIDER USING THOSE WORDS IN THEIR NEXT RALLY/CAMPAIGN EVENT TO INCREASE THEIR CHANCE BEING VOTED DURING THE ELECTION DAY
8. HOW DO WE DO IT? (1) • WHAT IS POL-CUP? IT IS TOOL TO ENSURE HOW ENGAGED THE POLITICIANS WITH THE ELECTORATES IN DURING POLITICAL RACE (HENCE THE NAME, IF YOU WIN THE RACE, YOU GET A CUP) • THE TOOL PRESENTS ONLY FOCUS ON SOCIAL MEDIA (I.E. TWITTER) • WE PRESENT TWO COMPONENTS: KLOUT SCORE AND WORD SENTIMENT ANALYTICS
9. HOW DO WE DO IT? (2) • KLOUT SCORE -> IT IS GIVEN AND THE TOOL IS ALREADY THERE. KLOUT SCORE IS ACTUALLY TO MEASURE HOW INFLUENTIAL A POLITICIAN ON TWITTER. THE MODEL IS ALREADY BUILT • THE NEXT MODULE IS: THE WORD SENTIMENT ANALYTICS TO MEASURE: HOW ENGAGED THE ELECTORATES WITH THE POLITICIAN DURING POLITICAL CAMPAIGN/RALLY? • POLITICAL CAMPAIGN/RALLY IS IMPORTANT EVENT FOR A POLITICIAN TO CONVINCE ELECTORATES TO VOTE HIM/HERE IN THE ELECTION DAY • MEASURING WHAT CITIZENS THINK OF “WORDS/TOPICS” THAT UTTERED BY A POLITICIAN CAN HELP POLITICIAN UNDERSTAND WHICH WORD/TOPIC HE/SHE MUST PICK/CONVEY TO ENSURE CITIZENS TO VOTE FOR HIM/HER.
10. HOW DO WE DO IT – WORD SENTIMENT ANALYTICS? Tweets during political events (campaign/rally) Tweets that mentioned/referred to the politician Apply sentiment score to those tweets Find Topic/Frequent Words from those Tweets Find tweets that contain each frequent word/topic and average their sentiment score respectively Present the result in bubble chart along with Klout Score
11. DELIVERABLE • SHOW THE WEBSITE FROM TWEETS RELATED TO JOKOWI/PRABOWO DURING THE FIRST PRESIDENTIAL DEBATE
12. KLOUT SCORE
13. KLOUT SCORE • KLOUT MEASURES INFLUENCE BY USING DATA POINTS FROM TWITTER, SUCH AS • FOLLOWING COUNT, • FOLLOWER COUNT, • RETWEETS, • LIST MEMBERSHIPS, • HOW MANY SPAM/DEAD ACCOUNTS ARE FOLLOWING YOU, • HOW INFLUENTIAL THE PEOPLE WHO RETWEET YOU ARE AND UNIQUE MENTIONS
14. POSSIBLE IMPROVEMENTS • REMOVING NOISES -> IMPORTANT TO ENSURE THE TWEETS ARE NOT BIASED (REMOVING TWEETBOT, ETC) • SPATIAL & TEMPORAL ANALYSIS: OBSERVE HOW THESE WORD SENTIMENT CHANGE OVER TIME AND HOW SENTIMENT DIFFERS OVER PLACES • WE CAN ANALYZE FURTHER BASED ON TWITTER DEMOGRAPHY AND TRADITIONAL ENGAGEMENT METRICS (RETWEET, MENTION, REPLY, FAVORITE)