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.
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
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
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.
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
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
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)
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