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How accurate are claims that the US election is rigged? Show more Show less
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In the run up to the US election, many are questioning the integrity of the election. How accurate are claims that the US election is rigged?

Claims that the US election is rigged are very accurate Show more Show less

Claims that the US election is rigged are very accurate. Electoral fraud, voter suppression, and media bias are just some of the ways certain groups are targeting the US election to rig its outcome.
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There is a well-documented tradition of voter suppression to disenfranchise minority groups

Claims that the US election is rigged are very accurate. Some actors may use sophisticated microtargeting software to specifically focus on suppressing certain groups of the population.
America Election

The Argument

In the 2016 election, the Trump campaign team incorporated a strategy to deter millions of African-Americans from voting.[1] This included a group of people that the administration hoped would not show up to vote. Social media platforms and the internet have made it easy and affordable to reach massive amounts of people very quickly and anonymously. Some actors may use sophisticated microtargeting software to specifically focus on suppressing certain groups of the population.

Counter arguments

It is easier than ever before to register to vote, and especially to vote in the US. The term "voter suppression" was made up to defame legal activities such as voter ID laws and suggest that they are illegal. The Democratic administration's concerns regarding voter suppression are manufactured by them, and amplified by the press. Such concerns are invented to criticise the integrity of American presidential elections. Sore losers may use the term voter suppression to detract from their own loss and suggest that it could only have been caused by conspiracy.

Proponents

Premises

Rejecting the premises

References

  1. https://www.channel4.com/news/revealed-trump-campaign-strategy-to-deter-millions-of-black-americans-from-voting-in-2016
This page was last edited on Thursday, 29 Oct 2020 at 10:16 UTC

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