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Article summary:
1. This paper explores the implications of automated journalism, or “robot journalism”, on authorship and crediting policies.
2. An empirical study was conducted to analyze the attribution regimes in organizations that produce journalistic content automatically.
3. The study found discrepancies between perceptions of authorship and crediting policy, the prevailing attribution regimes and the scholarly literature.
Article analysis:
The article is generally reliable and trustworthy, as it provides a comprehensive overview of automated journalism and its implications for authorship and crediting policies. The article is well-researched, with an empirical study conducted to analyze the attribution regimes in organizations that produce journalistic content automatically. Furthermore, the article offers a consistent and comprehensive crediting policy to mitigate any discrepancies found between perceptions of authorship and crediting policy, the prevailing attribution regimes and the scholarly literature.
However, there are some potential biases in the article which should be noted. For example, there may be a bias towards automated journalism due to its potential benefits for news organizations in terms of cost savings and performance agility. Additionally, there may be a bias towards certain organizations that were interviewed for the empirical study due to their willingness to participate despite general reluctance from other news organizations. Finally, there may be a bias towards certain theories or perspectives presented in the scholarly literature which are used as a basis for comparison with actual practices in automated journalism.