Friday, April 23, 2021
Friday, April 23, 2021
HomeFact checkFake Election Poll Survey Images Show AITC Losing In Bengal’s Nandigram District

Fake Election Poll Survey Images Show AITC Losing In Bengal’s Nandigram District

Second phase of West Bengal’s State Assembly Elections have come to an end and political drama between parties are at an all-time high. Amid this, an image of a survey allegedly by the Indian Political Action Committee (I-PAC) is shared with the claim that Mamata Banerjee will not win in Bengal’s Nandigram district and that BJP is likely to win in phase 2. 

West Bengal’s Legislative Assembly elections began on 27 March and will take place in eight phases till 29 April. I-PAC a poll strategy agency hired by West Bengal Chief Minister Mamata Banerjee.

Social media users shared images of a survey with “PK’s internal survey leaked. Didi losing Nandigram. BJP sweeping 23/30” written on the bottom right corner. 

On 30 March, BJP spokesperson Suresh Nakhua shared this claim with the caption, “Didler is losing Nandigram as per internal survey by PK.” His tweet garnered 1.2K retweets and over 5K likes at the time of writing. 

An archived version of the tweet can be viewed here

Other Twitter users have shared this claim as well. 

Also Read: Old Images Of BJP Workers Shared Ahead Of Bengal’s Assembly Election To Mislead Voters

Fact Check / Verification

As per the Election Commission of India (ECI) West Bengal’s election results will be announced on 2 May.

We found a 26 March press release by the ECI which details guidelines on conducting exit polls or publishing any related material. It reads that from 7:00 A.M on 27 March to 7.30 PM on 29 April, “conducting any exit poll and publishing or publicizing the result of exit poll by means of the print or electronic media or in any other manner shall be prohibited in the ongoing General Elections to the Legislative Assemblies of Assam, Kerala, Tamil Nadu, West Bengal & Puducherry and Bye Elections to the House of the People and Legislative Assemblies of various states.” 

Screenshot of ECI's press release on state elections guidelines
Screenshot of ECI’s press release on state elections guidelines

On 31 March I-PAC refuted the claim on their Twitter account. Their post reads, “Facing imminent defeat, @BJP4Bengal has now gone down to the level of using FAKE surveys in the name of I-PAC to keep the morale of their workers up!! 

P.S: In I-PAC, no one uses desktops so at-least be smart in your effort to create fake survey / reports!”

The All India Trinamool Congress (AITC) party also responded to the claim in context, calling it fake. Posted on 29 March their tweet reads, “BJP IS LOSING BIG IN NANDIGRAM! Anticipating a huge loss, @BJP4Bengal has resorted to doing what it does best- SPREAD FAKE NEWS! This document is fake & has ZERO credibility, just like BJP’s leaders & promises! Circulating such fake reports won’t work!”

You can read about this claim in our Hindi and Bangla fact-check as well. 

Conclusion

Our research makes it clear that the images of a survey showing BJP’s win in the second phase of West Bengal’s state elections are fake. I-PAC and the AITC party have denied these claims. 

Result: False

Our Sources

Election Commission of India: https://eci.gov.in/files/file/13199-general-elections-to-the-legislative-assemblies-of-assam-kerala-tamil-nadu-west-bengal-puducherry-and-bye-elections-to-the-house-of-the-people-and-legislative-assemblies-of-various-states%E2%80%93-ban-on-exit-poll/

Indian Political Action Committee: https://twitter.com/IndianPAC/status/1377130210424807426

All India Trinamool Congress: https://twitter.com/AITCofficial/status/1376539911730339843


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Nikita Vashisth
Nikita Vashisth
Nikita is a writer and editor for English fact-checking. She also leads projects to understand the misinformation and fake-news ecosystem—with an emphasis on data and psychology. Previously, she has worked with IndiaSpend, CNN-News18 and written for Citizen Matters and Mongabay-India on the environment, health, and politics. She’s a postgraduate of the Computational Journalism program at Cardiff University, Wales.

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