Abstract
This scoping review elucidated the characteristics of polarized scientific digital messages credited by researchers for studying the impact of content on people's perceptions. Inclusion criteria encompassed discourse and content analysis studies examining the syntactic and lexical features of polarized messages in online science communication, as well as crossover and randomized information intervention studies. Studies without sufficient detail for data extraction or that did not address message characteristics were excluded. After these exclusions, 10 studies were evaluated for the outcomes. Characteristics of polarized messages were observed to include topic dependency, single viewpoint, discredit of opposing views, emphasis on the minority and flaws of concurrent discourses, and uses of assertive statements, intensifiers, controversy, partisanship, skepticism, sarcasm, vague lexicons, and expert opinion support. As a result, we propose a system of codification for identifying and characterizing polarized discourses in science communication digital messages that can be employed in further content analysis studies.
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