Webinar: Making sense of a COVID-19 world: applying collective intelligence to big data (3rd of June)

OK, let’s see:

Look for “solutionist” language (solution, effective, efficient, real-time, scalable etc.). See if it trends (but do we have a counterfactual?); see if it co-occurs with epidemics language (COVID, Coronavirus, pandemic) and tech solutions thereto (contact tracing app), especially linked to surveillance companies (Palantir, others?). See if the sentiment is positive. If none of these occur, the hypothesis is not supported.

Repeat the game: identify a batch of words related to anonymity (anonymize, breach, locational) and another linked to the possible issues identified by the Surveillance Pandemic focus group (takeup, adoption, lock-in, credibility, confidence), then look at occurrence, co-occurrence and sentiment.

You get the idea. We can do the same with results 3 on immunity passports and 4 on locational data.