Individual EEG measures of attention, memory, and motivation predict population level TV viewership and Twitter engagement.

ABSTRACT: Television (TV) programming attracts ever-growing audiences and dominates the cultural zeitgeist. Viewership and social media engagement have become standard indices of programming success. However, accurately predicting individual episode success or future show performance using traditional metrics remains a challenge. Here we examine whether TV viewership and Twitter activity can be predicted using electroencephalography (EEG) measures, which are less affected by reporting biases and which are commonly associated with different cognitive processes. 331 participants watched an hour-long episode from one of nine prime-time shows (~36 participants per episode). Three frequency-based measures were extracted: fronto-central alpha/beta asymmetry (indexing approach motivation), fronto-central a

SUBMITTER: Shestyuk AY 

PROVIDER: S-EPMC6438528 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature