Integrating sentiment and social structure to determine preference alignments: The Irish Marriage Referendum
Table 3: Number of sampled yes, no and unaligned supporters in each community cluster.
['[EMPTY]', '[EMPTY]', 'Community cluster  [ITALIC] CC1', 'Community cluster  [ITALIC] CC2', 'Community cluster  [ITALIC] CC3', 'Total']
Are the community clusters that we found in the previous section representative of yes or no supporters? To find out we sample 358 (20%) users at random and classify manually them as either yes, no and unaligned voters. To classify each user we examine their Twitter biography (self-description) and all their tweets in our dataset. If an account has no obvious leaning, such an automated account (e.g., a bot); an institutional account, or an impartial journalist, we classify it as unaligned. After classifying all the users in our sample, we examine the composition of each community cluster. As we observed in Sec. Yes, CC2 as Active Yes, and CC3 as Active No.