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The logo for Twitter is displayed above a trading post on the floor of the New York Stock Exchange. vOA

Researchers have developed a new application that uses Machine Learning (ML) to detect Twitter bots in any language.

The study presented at the fourth conference of Digital Humanities in the Nordic Countries shows that the application is able to detect auto-generated tweets independent of the language used.


“This enhances the quality of data and paints a more accurate picture of the reality,” said Mikko Laitinen, Professor at the University of Eastern Finland.

In recent years, big data from various social media applications have turned the web into a user-generated repository of information in the ever-increasing number of areas, said the researchers.

Twitter has become a popular source of data for investigations of a number of phenomena Because of the relatively easy access to tweets and their meta-data.


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

Twitter Bots are non-personal and automated accounts that post content to online social networks.

It has been estimated that around 5 to 10 per cent of all users are bots and these accounts generate about 20-25 per cent of all tweets posted.

For the study, the researchers analysed 15,000 tweets in Finnish, Swedish and English. Finnish and Swedish were mainly used for training, whereas tweets in English were used to evaluate the language independence of the application.

Also Read- Google Announces an Investment of $600 mn to Expand US Data Centre

According to the researchers, the app is light, making it possible to classify vast amounts of data quickly and relatively efficiently.

“Bots are relatively harmless, whereas trolls do harm as they spread fake news and come up with made-up stories. This is why there’s a need for increasingly advanced tools for social media monitoring”, said Laitinen. (IANS)


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The aim of the book is to teach children that families can exist in different forms, and show them how to accept the diversity in family backgrounds.

By Siddhi Jain

Delhi-based author Pritisha Borthakur is set to release her new book, 'Puhor and Niyor's Mural of Family Stories'. The 1,404-word children's book was put together to address a new kind of societal debacle in the family system. The author says the aim is to teach children that families can exist in different forms, and show them how to accept the diversity in family backgrounds.

The author who named the book after her twin sons -- Puhor and Niyor -- is a parent who has seen and heard the tales of ridicule and discrimination suffered by many in India and beyond. She says the book is an artistic illustration for kids that details how different families can live and coexist. Whether it's children with two dads or two moms, children with a single dad or single mom, and even multiracial family units, Borthakur's book teaches love, understanding, and compassion towards unconventional families.

Beyond race, gender, color, and ethnicity which have formed the bases for discrimination since the beginning of time, this book aims to bring to light a largely ignored issue. For so long, single parents have been treated like a taboo without any attempt to understand their situations; no one really cares how or why one's marriage ended but just wants to treat single parents as villains simply for choosing happiness and loving their children.

Homosexual parents, a relatively new family system, is another form that has suffered hate and discrimination for many years. Pritisha emphasizes the need to understand that diversity in people and family is what makes the world beautiful and colourful. 'Puhor and Niyor's Mural of Family Stories' is a firm but compassionate statement against all forms of discrimination on the bases of sexual identity, gender, race, and even differences in background

four children standing on dirt during daytime 'Puhor and Niyor's Mural of Family Stories' is a firm but compassionate statement against all forms of discrimination on the bases of sexual identity, gender, race and even differences in background. | Photo by Ben Wicks on Unsplash


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