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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
Monetize with Apple Podcasts Subscriptions via Podbean.
Earn rewards and recurring income from Fan Club membership.
Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
In this episode of the Forecast Direct, Thomas Ash of the UCLA Anderson Forecast talks to Professor Tony Cookson of the University of Colorado, Boulder, Leeds School of Business. They discuss the finance social media ecosystem, what it is, how it functions, and some key research findings related to it. This is especially important as social media takes a larger share of attention away from traditional media.
Key takeaways:
* Key social media platforms for finance include StockTwits, Twitter (“FinTwit”), and Seeking Alpha. On these roughly 80% of posts are bullish and coverage even includes many tiny to mid‑cap firms. By contrast, traditional media outlets show more negative‑tilted information and skew toward large firms.
* A useful way to characterize different parts of social media research is where it can act as a lens to view typical human behavior, versus social media's role as a participant, itself driving trading and volatility.
* There is a difference between firm‑Level vs. market‑level signals on social media. Different social media platforms talk about the same things but tend to disagree on the prospects of individual firms. At the firm level, spikes in social‑media sentiment mildly predict positive returns, while attention spikes tend to predict negative returns. At the aggregated market‑level however the opposite is true for both sentiment and attention, pointing to key differences between the firm and market level signals.
* Echo‑chamber dynamics and fake‑news proliferation can degrade both the quality of information impounded into prices and investors’ trust in genuine signals.
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