Proceedings of the 38th ACM International Conference on Design of Communication 2020
DOI: 10.1145/3380851.3418613
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The Real-Time Audience

Abstract: Web analytics are a powerful tool for deriving audience insights. Analytical tools enable us to capture certain audience behaviors that can drive research on how to make content consumable. This poster covers the best practices for using data analytics to achieve organizational goals especially through technical communication work and the opportunities to include data analytics in TPC pedagogy.

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Cited by 2 publications
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“…As such, data science is a diverse field of statistics, data processing, using algorithms and machine learning to gather insights from big data for AI. Yet, just because data is available does not mean it is relevant data, and in data analytics there is an important role for technical communicators to contextualize data to human dimensions and various stakeholders tobetter implementat AI (Ranade, 2020). A common saying in data science is that of “garbage in, garbage out”––if one uses skewed, bad data for decision-making or to create an algorithm, it will make for bad AI.…”
Section: Ai Implicationsmentioning
confidence: 99%
“…As such, data science is a diverse field of statistics, data processing, using algorithms and machine learning to gather insights from big data for AI. Yet, just because data is available does not mean it is relevant data, and in data analytics there is an important role for technical communicators to contextualize data to human dimensions and various stakeholders tobetter implementat AI (Ranade, 2020). A common saying in data science is that of “garbage in, garbage out”––if one uses skewed, bad data for decision-making or to create an algorithm, it will make for bad AI.…”
Section: Ai Implicationsmentioning
confidence: 99%