{"id":1793,"date":"2020-12-15T20:12:30","date_gmt":"2020-12-15T20:12:30","guid":{"rendered":"https:\/\/thenextweb.com\/?p=1331932"},"modified":"2020-12-15T20:12:30","modified_gmt":"2020-12-15T20:12:30","slug":"twitter-sentiment-analysis-suggests-football-fans-would-give-video-referees-the-red-card","status":"publish","type":"post","link":"https:\/\/www.londonchiropracter.com\/?p=1793","title":{"rendered":"Twitter sentiment analysis suggests football fans would give video referees the red card"},"content":{"rendered":"\n
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When the video assistant referee (VAR) arrived in the English Premier League football last year, there were high hopes that the system would erase incorrect decisions from games.<\/p>\n

The tech is used to review contentious decisions made by officials on the pitch. But many players, pundits, and coaches say the system is so slow and inconclusive that it\u2019s causing more problems than it solves.<\/p>\n

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It\u2019s \u201cclear and obvious\u201d we need a serious discussion about VAR. Sure I\u2019m not alone in feeling like they are falling out of love with the game in its current state. pic.twitter.com\/5FGgLtqbHs<\/a><\/p>\n

\u2014 James Milner (@JamesMilner) November 28, 2020<\/a><\/p>\n<\/blockquote>\n

Now researchers from the Technical University of Munich have used machine learning to find out what supporters are saying about VAR on Twitter.<\/p>\n

The team first used the official Twitter API to collect more than 600,000 English language tweets made during 129 matches of the 2019-20 Premier League season.<\/p>\n

\u201cWe used the official hashtag for each game to ensure that the tweets really refer to the game in question,\u201d said<\/a> Dr Otto Kolbinger from TUM\u2019s Chair of Performance Analysis and Sports Informatics.<\/span><\/span><\/p>\n

[Read: Why AI is the future of home security<\/a>]<\/em><\/p>\n

The researchers then created a subsample of tweets made when VAR incidents occurred, which they grouped as either positive, neutral, or negative. This was used to train a text classification model to analyze each tweet\u2019s sentiment.<\/p>\n

The model categorized 76.24% of the 58,000 tweets about VAR as negative, 11.43% as neutral, and just 12.33% as positive.<\/p>\n

The researchers say that tweets about the video referee were typically far more negative than those mentioning other aspects of the games. They also found that deployments of VAR made the mood of fans \u201csignificantly worse\u201d for the next 20 minutes on average.<\/p>\n

Dr Otto Kolbinger said the findings show<\/span><\/span> improvements to VAR are needed:<\/p>\n

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The football associations should attempt to communicate all VAR decisions with greater transparency. <\/span><\/span>To ensure this transparency, the associations could broadcast the communications between the referee on the field and the video referee, as it is done in field hockey. An alternative would be to introduce the option of a \u2018coaches challenge,\u2019 as in American football.<\/span><\/span><\/p>\n<\/blockquote>\n<\/div>\n<\/div>\n<\/div>\n

You can read the full study<\/a> in the journal PLOS ONE.<\/em><\/p>\n

Published December 15, 2020 \u2014 20:12 UTC <\/p>\n

Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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