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Density of constructiveness and positivity

Density of constructiveness and positivity


... As an essential theory in linguistics, Appraisal Theory has been employed in a wide spectrum of studies on opinion detection, such as wine review (Hommerberg & Don, 2015), news review (Cavasso & Taboada, 2021), consumption review (Hommerberg, 2015), to name but a few. ...
... The data was annotated and organised in the UAM CorpusTool. The annotation followed two principles proposed by Cavasso and Taboada (2021): minimality and contextuality. Minimality means the shortest unit, or span as Cavasso and Taboada refer to it, annotated to show attitudinal information. ...
... Twitter users tended to express their opinions on global warming through Appreciation (evaluating things), and Judgement (evaluating people's behaviours), rather than directly expressing their emotions through Affect. As Cavasso and Taboada (2021) put it, "strong emotional content is couched in terms of Judgement and Appreciation" (p. 27). ...
Public opinion surveys over the past 30 years show that public opinion is split on the issue of global warming. One of the problems with “solicited” opinion polls is that the findings may be selectively interpreted in favour of the political goals of a particular interest group. To gain a better understanding of the general public’s unsolicited responses to climate change news, the current study examined Twitter messages containing the words “global warming” spanning 16 months. Using a framework combining a sentiment analysis technique, Hedonometer from the perspective of natural language processing and appraisal theory from a discourse analysis perspective, the study shows that the demonstrated happiness level in tweets containing the words “global warming” is consistently lower than the general level on Twitter due to increased use of negative words and decreased use of positive words. The appraisal analysis shows that “Appreciation” is used most frequently and “Affect” least.
... This description is also in line with our other recent analyses. Ehret and Taboada (2020) compared online news comments to traditional written and spoken registers and found that they are strongly evaluative in nature, combining argumentative, informational, and some involved features (Ehret and Taboada, 2020, 23), while Cavasso and Taboada (2021) observe their overwhelmingly negative nature, with personal affective opinion (I hate the candidate) eschewed in favour of more detached evaluation (The candidate is incompetent; The candidate's policies are bad). As illustrated in (4), online news comments can thus range from involvedevaluative to involved-argumentative and informationalargumentative. ...
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News organisations often allow public comments at the bottom of their news stories. These comments constitute a fruitful source of data to investigate linguistic variation online; their characteristics, however, are rather understudied. This paper thus contributes to the description of online news comments and online language in English. In this spirit, we apply multi-dimensional analysis to a large dataset of online news comments and compare them to a corpus of online registers, thus placing online comments in the space of register variation online. We find that online news comments are involved-evaluative and informational at the same time, but mostly argumentative in nature, with such argumentation taking an informal shape. Our analyses lead us to conclude that online registers are a different mode of communication, neither spoken nor written, with individual variation across different types of online registers.