The Donaghy Case
A second case study of a real-world scandal is this of Tim Donaghy, a former professional basketball referee, who worked for the National Basketball Association (NBA) for 13 seasons, from 1994 to 2007. Donaghy filed his resignation on the 9th of July, 2007. Later this year, the Federal Bureau of Investigations (FBI) published a report of an investigation on Donaghy for allegedly betting on matches that he officiated during the seasons 2005-06 and 2006-07 and making calls that affected the point spread of those games. On August 15th, 2007, Donaghy pleaded guilty to two federal charges related to the investigation, and a year later he was sentenced to 15 months in prison and three years of supervised release. The scandal provoked a storm of reactions in social media, where there was a burst of users expressing their opinions regarding Donaghy, match fixing and other related topics.
Query Words: tim donaghy
Tweets per Month
Contains the count of tweets submitted every month during the researching period.
Sentiment per Month
Contains information about the scores of six basic sentiments (Anger, Disgust, Fear, Joy, Sadness & Surprise), on each month.
17.344 distinct tweets
446 distinct Youtube comments
13.023 distinct users (12,625 from Twitter and 398 from YouTube)
21.577 distinct words
15/08/2007 to 01/06/2016
The time frame of the data is 8 years and 9.5 months
The overall score of our sentiment analysis indicated the main sentiment of the users was Disgust.
Most Frequent Words
Contains the most frequent distinct words as extracted from the final data during the researching period.
Most Frequent Hashtags
Contains the most frequent distinct hashtags as extracted from the final data. The table shows the top10 of the hashtags along with their frequencies.
Most Frequent Users & Mentions / Location Map
The bubble chart contains the most frequent users that tweeted about the event, the tagcloud contains the most frequent mentions included in the tweets and the choropleth map shows the locations that interacted with the tweet.