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Demonetisation Anniversary: BJP acts cheeky, releases new video showing Frustration of ‘Corrupt’ Politicians following Demonetisation

The one-minute video, which is now going viral on social media, has already been re-tweeted more than 2 thousand times since it was released on November 7, on the eve of demonetization move.

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Demonetisation Anniversary
Screen grab of the sarcastic video released by BJP to mark Demonetisation Anniversary. Twitter

New Delhi, November 8, 2017 : On November 8 2016, every Indian citizen sat glued to their TV screens as Narendra Modi was set to make a big announcement. Outcome? The Indian Prime Minster shocked the entire nation with the introduction of Demonetisation, a move that was to change the very foundation of the cash-dependent Indian economy.

The much-debated move by Modi garnered the attention of several well-versed economists from the country and abroad, alike. While some people willingly welcomed the move, there were others who stood in staunch criticism.

As the move completes its first year, the Bharatiya Janata Party (BJP) is set to observe November 8 as ‘anti-black money day’ to celebrate Demonetisation anniversary in the country.

On the eve of the Demonetisation anniversary, the BJP released a cheeky video claiming to depict how ‘corrupt’ politicians have been criticizing the move, as the nation won following demonetisation.

WATCH BJP’S TONGUE-IN-CHEEK VIDEO

In the video, the BJP attempted to take a dig at corrupt politicians, who have been criticizing PM Modi’s Demonetisation move.

In the video, a woman, playing the character of a frustrated, corrupt politician can be seen going on a rant over PM Modi’s note ban initiative, which was aimed to combat black money, corruption, fake currency and terrorism.

The video ends with a voice-over saying demonetisation has not only brought out this frustration of corrupt citizens, but also black-money, claiming that almost 99 per cent cash which was previously lying hidden with people has now entered the banking system.

The one-minute video, which is now going viral on social media, has already been re-tweeted more than 2 thousand times since it was released on November 7, on the eve of demonetization move.

Ahead of the Demonetisation anniversary, the last few days have witnessed several leaders present their opinions on PM Modi’s demonetization move.

Finance Minister Arun Jaitley called PM Modi’s note ban initiative a ‘watershed moment’ while Piyush Goyal, Minister of Railways believes the move has pushed India towards a more transparent economy.

However, the move is being criticized by ex-Prime Minister Manmohan Singh calling it ‘irresponsible’. The opposition maintains that PM Modi’s note ban initiative has caused reckless damage to the country and the Indian economy.

On Demonetisation anniversary, the BJP is set to observe November 8 as ‘anti-black money day’, while opposition leaders are set to observe the day as ‘black day’ in protest against the note ban initiative.

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Are you an Avid Twitter User? Your Posts can Reveal How Lonely you are

If we are able to identify lonely individuals and intervene before the health conditions associated with the themes we found begin to unfold, we have a change

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Twitter, User, Posts
Loneliness can be a slow killer, as some of the medical problems associated with it can take decades to manifest. Pixabay

Researchers have found that users who tweet on loneliness are much more likely to write about mental well-being issues and things like struggles with relationships, substance use and insomnia on Twitter.

By applying linguistic analytic models to tweets, researchers were able to gain an insight into the topics and themes that could be associated with loneliness.

“Loneliness can be a slow killer, as some of the medical problems associated with it can take decades to manifest,” said the study’s lead author Sharath Chandra Guntuku, from University of Pennsylvania in the US.

“If we are able to identify lonely individuals and intervene before the health conditions associated with the themes we found begin to unfold, we have a change to help those much earlier in their lives. This could be very powerful and have long-lasting effects on public health,” Guntuku said.

Twitter, User, Posts
By applying linguistic analytic models to tweets, researchers were able to gain an insight into the topics and themes that could be associated with loneliness. Pixabay

By determining typical themes and linguistic markers posted to social media that are associated with people who are lonely, the team has uncovered some of the ingredients necessary to construct a ‘loneliness’ prediction system.

As part of the study, published in the journal BMJ, researchers analysed public accounts from users based in Pennsylvania and found that 6,202 accounts used words such as ‘lonely’ or ‘alone’ more than five times between 2012 and 2016.

Comparing the entire Twitter timelines of these users to a matched group who did not have such language included their posts, the researchers showed that ‘lonely’ users tweeted nearly twice as much and were much more likely to do so at night.

When the tweets were analysed via several different linguistic analytic models, the users who posted about loneliness had an extremely high association with anger, depression and anxiety, when compared to the ‘non-lonely’ group.

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Additionally, the lonely groups were significantly associated with tweeting about struggles with relationships (for example, using phrases like ‘want somebody’ or ‘no one to’) and substance use (‘smoke,’ ‘weed,’ and ‘drunk’)

“On Twitter, we found lonely users expressing a need for social support, and it appears that the use of expletives and the expression of anger is a sign of that being unfulfilled,” Guntuku said.

Users in the group that didn’t post about loneliness seemed to display some social connections, as they were found to be more likely to engage in conversations, especially by including others’ user names (using ‘@twitter_handle’) in their tweets.

In the future, the researchers hope to develop a better measure of the different dimensions of loneliness that online users are feeling and expressing. (IANS)