  In studies on election result prediction based on Twitter data, estimates
were made using one of the factors such as the number of positive, negative,
and neutral tweets posted about parties, the effect size of these tweets (the
number of re-tweets), or the number of people who posted these tweets. However,
no study was found that used all of these factors together. The goal of this
study is to develop a new approach that takes into account all of the factors
described and contributes to the literature in this context. A new multifactor
model for the election result prediction based on Twitter data has been
developed for this purpose. The model was tested by attempting to predict the
results of the US 2020 elections in November, which had not yet taken place
when the first version of this article was written. Also, a comparison has been
made with alternative estimation approaches in the literature. Analyzes were
made for approximately 10 million tweets collected between September 1 and
October 21, 2020. As a result of the analysis, consistent with the results of
the polls, Biden wins the election with a difference of 9.22% according to our
method of estimating votes based on positive and negative tweet numbers, which
are the current approaches in the literature. However, by using our multifactor
model, the parameters for 3 November were calculated as -0.213423 for Democrats
and 0.0455818 for Republicans. Based on these scores, it is concluded that the
Republicans will win the election with a very small margin.
