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It used to be said that the big problem with AI is its ‘hallucinations’ when supporting data is absent. But it turns out that there is a bigger one:...

From Beijing to Buenos Aires, from London to New York: what city neighborhoods do Airbnb guests prefer to travel to? And what makes their stays most satisfactory? Recently published work in EPJ Data Science explores these questions with Airbnb data about 19 cities around the world, covering a 9-year period.

This paper investigates the predictive power of information contained in social media tweets on bitcoin market dynamics. Using Valence Aware Dictionary for Sentiment Reasoning (VADER), we extract useful information from tweets and construct two factors – sentiment dispersion (SD) and investor attention (IA) – to test their predictive power. We show that investors face greater return volatility for rising sentiment dispersion associated with more significant market uncertainty. Further, IA is found to predict bitcoin trading volume but not returns and volatility. Finally, we design an IA-in...