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We introduce a novel method for analyzing person-to-person content influenceon Twitter. Using an Ego-Alter framework and Granger Causality, we examinePresident Donald Trump (the Ego) and the people he retweets (Alters) as a casestudy. We find that each Alter has a different scope of influence acrossmultiple topics, different magnitude of influence on a given topic, and themagnitude of a single Alter's influence can vary across topics. This work isnovel in its focus on person-to-person influence and content-based influence.Its impact is two-fold: (1) identifying "canaries in the coal mine" who couldbe observed by misinformation researchers or platforms to identifymisinformation narratives before super-influencers spread them to largeaudiences, and (2) enabling digital marketing targeted toward upstream Altersof super-influencers.

Influencing the Influencers: Evaluating Person-to-Person Influence on Social Networks Using Granger Causality