Characterizing Financial Market Coverage using Artificial Intelligence. (arXiv:2302.03694v1 [q-fin.ST])

This paper scrutinizes a database of over 4900 YouTube videos to characterize
financial market coverage. Financial market coverage generates a large number
of videos. Therefore, watching these videos to derive actionable insights could
be challenging and complex. In this paper, we leverage Whisper, a
speech-to-text model from OpenAI, to generate a text corpus of market coverage
videos from Bloomberg and Yahoo Finance. We employ natural language processing
to extract insights regarding language use from the market coverage. Moreover,
we examine the prominent presence of trending topics and their evolution over
time, and the impacts that some individuals and organizations have on the
financial market. Our characterization highlights the dynamics of the financial
market coverage and provides valuable insights reflecting broad discussions
regarding recent financial events and the world economy.



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