  We present an overview of the EmotionGIF2020 Challenge, held at the 8th
International Workshop on Natural Language Processing for Social Media
(SocialNLP), in conjunction with ACL 2020. The challenge required predicting
affective reactions to online texts, and included the EmotionGIF dataset, with
tweets labeled for the reaction categories. The novel dataset included 40K
tweets with their reaction GIFs. Due to the special circumstances of year 2020,
two rounds of the competition were conducted. A total of 84 teams registered
for the task. Of these, 25 teams success-fully submitted entries to the
evaluation phase in the first round, while 13 teams participated successfully
in the second round. Of the top participants, five teams presented a technical
report and shared their code. The top score of the winning team using the
Recall@K metric was 62.47%.
