Posts by Tian Wei
For this year’s Video Music Awards and Emmys, online conversation volumes predicted the winners for 4 of 7 VMAs and 6 of 14 Emmys. Converseon monitored online mentions of each nominee from the time nominations were announced to the day of the award ceremonies, then looked for correlations between conversation mentions and awards.
MTV Video Music Awards
Social media volume correctly predicted (1) Video of the Year, (2) Best Male Video, (3) Best Female Video and (4) Best Pop Video.
Emmys
Of the top fourteen awards, social media volume correctly predicted (1) Outstanding Drama Series, (2) Outstanding Comedy Series, (3) Outstanding Reality Program, (4) Best Actress in a Comedy, (5) Best Actress in a Miniseries or Movie, and (6) Best Director of a Drama.
Other research has revealed that Twitter conversations can predict box office revenues and that overall social media volume can predict electoral outcomes.
In addition, Converseon researchers have also developed a methodology for measuring customer satisfaction through online conversation mining.
As part of our ongoing efforts to help companies understand their employees through conversation mining, Converseon recently analysed online conversations around the #lovemyjob hashtag, and below are some of our findings:
Men and Women Use the Hashtag Differently
- Women tweet #lovemyjob three times more often than men
- Nearly 20% of #lovemyjob tweets from women discuss working with children
- When women tweet #lovemyjob, they tend to discuss interacting with co-workers and customers
- When men tweet #lovemyjob, they tend to discuss job perks and slacking off at work
Artists, Teachers and Lifeguards Love Their Jobs
- Artists, teachers and lifeguards use #lovemyjob more than any other occupations, as follows:
- Artists: 9% of tweets
- Teachers: 8% of tweets
- Lifeguard: 6% of tweets
- People who tweet #lovemyjob more frequently work in hospitality (12% of tweets), creative (11% of tweets) and education (9%) industries
- 5% of the #lovemyjob tweets name the person’s employer
- The most frequently named company was a retail-clothing company
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