Article Assignment 1 (2)

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University of Michigan, Flint *

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215

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Communications

Date

Apr 3, 2024

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pdf

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4

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1. Studying world leaders' use of social media platforms like Twitter during the COVID-19 pandemic is crucial for understanding their strategies for engaging citizens, disseminating information, and shaping public opinion. Accurate and timely communication is essential during public health emergencies to inform, reassure, mitigate misinformation, and encourage adherence. 2. G7 Twitter Outcome Measures on March 18, 2020: Verified Twitter accounts Number of followers Number of COVID-19 related viral tweets. Categorized viral tweets into "Informative," "Morale-boosting," or "Political." Weblinks in informative tweets to official government-based sources. Top viral tweet characteristics for each G7 member. Number of viral videos embedded in informative tweets. Non-English language tweets and their translations. 3. The variable "themes for viral tweets" was organized into three categories or attributes: Informative: Tweets providing information or updates related to COVID-19. Morale-boosting: Tweets aimed at boosting morale or galvanizing people during the pandemic. Political: Tweets raising a point of political debate related to COVID-19.
The themes are distinct categories without any inherent order, so this variable is measured nominally. The mode, the most frequent category in categorical data, is the best measure of central tendency. Each theme category's tweet percentages: Informative: 82.8% Morale-boosting: 9.4% Political: 6.9% The majority of viral tweets were "Informative," 82.8%. This suggests that most G7 tweets during the COVID-19 pandemic provided crisis updates. 4. To analyze the variable from Table 1, we must determine the level of measurement, which is an interval, as the number of followers is a continuous quantitative variable. Let's calculate these values: 4.7, 4.6, 0.4, 1.7, 1.6, 71.4, 1.1, 0.2 Median = (1.7 + 1.6) / 2 = 1.65 million Mean = (4.7 + 4.6 + 0.4 + 1.7 + 1.6 + 71.4 + 1.1 + 0.2) / 8 = 10.7125 million Standard Deviation: Variance = [ Σ (xi - x ̄ )²] / n Sum of squared differences
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