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Dangal girls had sweet Sibling Fight in Twitter over SRK’s praise of Sanaya Malhotra

It all began with Sanaya Malhotra’s Instagram upload posing the famous Shah Rukh Khan pose of mitwa song from the movie Kabhi Alvida Na Kehna

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Dangal Poster, Youtube
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Mumbai, Jan 11, 2017: The Dangal girls, who are close friends in real life, are taking funny dig at each other. It all began with Sanaya Malhotra’s Instagram upload posing the famous Shah Rukh Khan pose of mitwa song from the movie Kabhi Alvida Na Kehna. This led Shah Rukh shower praises on her.

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Fatima Sana Sheikh and Sanya Malhotra are on a roll. The Dangal girls are earning accolades from all over for their unmatched portrayal of wrestlers Geeta and Babita Phogat respectively. The girls are always seen pretty close to each other in the movie and always supported each other.

But there might be one small thing that sparks a little competition between the two, and that is their love for not Aamir, but a different Khan of Bollywood.

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Mitwwaaaaaaa Shot by our very own human jib Mr @niteshtiwari22 and of course world-class editing by me ? #shootshenanigans #dangalthrowbak

A post shared by Sanya Malhotra (@sanyamalhotra_) on

The tweet by SRK on praising Sanaya or the reel-life Babita on her ‘Mitwa’ moves from the movie “Kabhi Alvida na Kehna” says-  “will have to relearn from u. Fantastic” and this made her on screen sister Fatimah Sana Shaikh a little jealous. Sanaya tweeted back saying “ sir mera toh Happy New Year hogaya”.

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Reacting to these tweets Fatimah also came up with her tweet saying “yeh dekh ne se pehle main Marr kyun nahi gaee sanya I am disowning you! # jealous ok. Bye.” definitely garnished it with a sad emoticon.

While Sanya was earning accolades from ‘King Khan’ himself, her screen sister Fatima was getting a little envious. Meanwhile, Sanya had an epic reaction after getting praises from Shah Rukh Khan.

prepared by Saptaparni Goon of NewsGram. Twitter: @saptaparni_goon

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New algorithm may help locate fake Facebook and Twitter accounts

Using the meta-features, the researchers, constructed a generic classifier that can detect fake profiles

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Facebook and Twitter fake accounts can now be identified. Pixabay

Scientists have developed a new generic algorithm based on machine-learning to detect fake accounts on social network platforms including Facebook and Twitter, an advance with considerable potential for applications in the cyber-security arena.

“With recent disturbing news about failures to safeguard user privacy, and targeted use of social media to influence elections, rooting out fake users has never been of greater importance,” said lead researcher Dima Kagan from the Ben-Gurion University (BGU) in Israel.

The icon of Facebook.
Facebook has many fake profiles. Pixabay

The study showed that the algorithm is generic, and efficient both in revealing fake users and in disclosing the influential people in social networks. “Overall, the results demonstrated that in a real-life friendship scenario we can detect people who have the strongest friendship ties as well as malicious users, even on Twitter,” the researchers said.

Based on machine-learning algorithms, the new method, detailed in the journal Social Network Analysis and Mining, works on the assumption that fake accounts tend to establish improbable links to other users in the networks.

Also Read: Facebook Rolls Out Fact-Checking News In Karnataka

It constructs a link prediction classifier that can estimate, with high accuracy, the probability of a link existing between two users. It also generates a new set of meta-features based on the features created by the link prediction classifier.

Twitter to soon release Snapchat like feature. VOA
Fake accounts on Twitter will be identifie too. VOA

Using the meta-features, the researchers, constructed a generic classifier that can detect fake profiles in a variety of online social networks. “We tested our algorithm on simulated and real-world data sets on 10 different social networks and it performed well on both,” Kagan said.

Previously, researchers from the BGU had developed the Social Privacy Protector (SPP) to help users evaluate their friends list in seconds to identify which have few or no mutual links and might be “fake” profiles. IANS