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Micro-blogging Platform Twitter Allows Publishers to Monetise Video Views Globally

Over the first half of 2018, publisher earnings for in-stream video ads have more than doubled compared to the same period in 2017

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Twitter allows publishers to monetise video views globally. (VOA)

Publishers of videos on Twitter can now monetise their entire global video audience on the micro-blogging site through in-stream video ads.

Previously, in-stream video ads were limited to the markets in which publishers are based, Twitter said in a statement on Wednesday.

Twitter
Twitter on a smartphone device. Pixabay

Over the past year, Twitter has expanded this capability to nearly 20 global markets, including India.

Twitter said it introduced this update following feedback that there is demand to monetise a publisher’s organic following, outside of their home country.

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Over the first half of 2018, publisher earnings for in-stream video ads have more than doubled compared to the same period in 2017, Twitter said. (IANS)

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Researchers Develop New Algorithm to Identify Cyber-bullies on Twitter

“In a nutshell, the algorithms ‘learn’ how to tell the difference between bullies and typical users by weighing certain features as they are shown more examples,” said Blackburn

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FILE - A man reads tweets on his phone in front of a displayed Twitter logo. VOA

Researchers have developed machine learning algorithms which can identify bullies and aggressors on Twitter with 90 per cent accuracy.

For the study published in the journal Transactions on the Web, the research team analysed the behavioural patterns exhibited by abusive Twitter users and their differences from other users.

“We built crawlers — programs that collect data from Twitter via variety of mechanisms,” said study researcher Jeremy Blackburn from Binghamton University in the US.

“We gathered tweets of Twitter users, their profiles, as well as (social) network-related things, like who they follow and who follows them,” Blackburn said.

The researchers then performed natural language processing and sentiment analysis on the tweets themselves, as well as a variety of social network analyses on the connections between users.

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Twitter is a social media app that encourages short tweets and brief conversations. Pixabay

They developed algorithms to automatically classify two specific types of offensive online behaviour, i.e. cyber-bullying and cyber-aggression.

The algorithms were able to identify abusive users — who engage in harassing behaviour like those who send death threats or make racist remarks — on Twitter with 90 per cent accuracy.

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“In a nutshell, the algorithms ‘learn’ how to tell the difference between bullies and typical users by weighing certain features as they are shown more examples,” said Blackburn.

“Our research indicates that machine learning can be used to automatically detect users that are cyber-bullies, and thus could help Twitter and other social media platforms remove problematic users,” Blackburn added. (IANS)