Publications by authors named "Michele Baets"

This study investigates which crash characteristics influence the probability that the crash is reported in the television news. To this purpose, all news items from the period 2006-2012 about traffic crashes from the prime time news of two Belgian television channels are linked to the official injury crash database. Logistic regression models are built for the database of all injury crashes and for the subset of fatal crashes to identify crash characteristics that correlate with a lower or higher probability of being reported in the news.

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Synopsis of recent research by authors named "Michele Baets"

  • - Michele Baets' research primarily focuses on the intersection of media reporting and traffic incidents, analyzing how various crash characteristics influence the likelihood of reported coverage in television news.
  • - In the study titled "Crashing the gates," Baets employs logistic regression models to assess the link between crash attributes and news reporting, utilizing a comprehensive dataset from two Belgian television channels alongside an official injury crash database.
  • - The findings reveal significant correlations between specific factors—such as the severity of crashes and other characteristics—with the probability of news coverage, indicating a selective bias in traffic news reporting during the period from 2006 to 2012.

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