Election 2018: Time-based interaction rates and the impact of verification

We published the data on how much false news produced throughout the election time have spread out in which platforms in our previous analysis titled “Election 2018: What is a “miscaption” and why is it more dangerous than manipulated images?”. Now, this article is prepared to demonstrate the distribution of false stories through time.

Distribution of false contents through time

It is possible to see that from the day early elections were announced to the week the elections were over, the mostly interacted contents are shared in May. Together with that, it is possible to say that the fake contents shared on the election day received the highest likes and shares.

78% of the false contents are still in circulation

It is observed that out of 136 weblinks, only 25 were removed and 5 were changed after 29 claims were declared to be false claims by teyit.org.

Comparison of analyses of teyit.org with the interaction of the false contents

It is seen that the interaction received by the analyses teyit.org published about the false news is much lower compared to the one of viral false news on the social media. According to the comparative chart, teyit.org has reached the same interaction as -or more from it- only four false contents.

When we look at the researches conducted on disinformation, it is not unexpectable to see these results. However, we need to make more effort so that teyit.org analyses reach out to more people and that they are conveyed to users who are affected by false contents.

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SOURCES:

Crowdtangle, Facebook, Twitter, teyit.link

You can find the raw data here.

NOTES:

* False contents which have been circulated on WhatsApp groups are not included to analyze due to lack of data.

* This analyze has been prepared with posts which were transmitted to teyit.org and have been found by editors. Posts have not enough engagement to be seen as viral is not included.

* Engagement=Comment+Likes+Shares (for Facebook) Engagement=Likes+Retweets (for Twitter)

DATA SCRAPING AND EDITING:

Efsun Ağırtaş

DATA ANALYSE AND VISUALISATION:

Mehmet Atakan Foça

TRANSLATION:

İlayda Ece Ova

FEATURED IMAGE:

Ali Ege / AFP

SOURCES:

Crowdtangle, Facebook, Twitter, teyit.link

You can find the raw data here.

NOTES:

* False contents which have been circulated on WhatsApp groups are not included to analyze due to lack of data.

* This analyze has been prepared with posts which were transmitted to teyit.org and have been found by editors. Posts have not enough engagement to be seen as viral is not included.

* Engagement=Comment+Likes+Shares (for Facebook) Engagement=Likes+Retweets (for Twitter)

DATA SCRAPING AND EDITING:

Efsun Ağırtaş

DATA ANALYSE AND VISUALISATION:

Mehmet Atakan Foça

TRANSLATION:

İlayda Ece Ova

FEATURED IMAGE:

Ali Ege / AFP