Text2Toxicity predicts a text’s toxicity. The tool is based on the machine learning classifier reported in the research article mentioned below. Give it a try! Text2Toxicity Salminen, J., Hopf, M., Chowdhury, S. A., Jung, S., Almerekhi, H., & Jansen, B. J. (2020). Developing an online hate classifier for multiple social media platforms. Human-Centric Computing and Information Sciences,…… Continue reading Text2Toxicity predicts a text’s toxicity
GAN2Name provides the most likely names for the given demographic
GAN2Name provides the most likely names for the given demographic. “GAN” comes from Gender, Age, and Nationality. Give it a try! GAN2Name Read more! Jung, S.G., Salminen, J., and Jansen, B. J. (2021) All About the Name: Assigning Demographically Appropriate Names to Data-Driven Entities. 54th Annual Hawaii International Conference on System Sciences (HICSS 2021) Koloa, Hawaii, United States. 5-8…… Continue reading GAN2Name provides the most likely names for the given demographic
Name2GAN Predict a name’s most likely demographics
Name2GAN is a service of Acua used to predict a name’s most likely demographics. “GAN” comes from Gender, Age, Nationality. Give it a try! Name2GAN Read more about the service! Jung, S.G., Salminen, J., and Jansen, B. J. (2021) All About the Name: Assigning Demographically Appropriate Names to Data-Driven Entities. 54th Annual Hawaii International Conference on System…… Continue reading Name2GAN Predict a name’s most likely demographics
Is Death Only the Beginning? How People Mourn Artificial Characters in Social Media
We analyze the audience response to the death of narrative-driven fictitious characters with predetermined fates, whether part of a virtual or cinematic story, and specifically from video games and TV series. Our aim is to contribute to the studies of identification and empathy with fictitious characters in media, as well as to close the research…… Continue reading Is Death Only the Beginning? How People Mourn Artificial Characters in Social Media
The need for data validity when using analytics
A difficulty faced by scholars and practitioners working with numbers about people is that those who study people want numerical data about these people. Unfortunately, time and time again, this numerical data about people is wrong. Addressing the potential causes of this wrongness, we present examples of analyzing people numbers, i.e., numbers derived from digital…… Continue reading The need for data validity when using analytics
Analytics in practice
Digital analytics – the collection, measurement, analysis, and reporting of online data. Organizations desire to leverage analytics to increase productivity, increase efficiency, reduce costs, and improve the audience, customer, and user experience (ACU Experience). Data-driven decision-making = making decisions based on data. See more about using analytics to make impactful data-driven decisions in our…… Continue reading Analytics in practice
Audience, Customer, and User Understanding
Understanding is the ability to interpret and make sense of the data insights generated through analytical processes. Understanding is the ability to interpret and make sense of the data insights generated through analytical processes. Goes beyond simply collecting and analyzing data to uncover patterns, trends, or correlations. Involves comprehending the implications of the data analysis…… Continue reading Audience, Customer, and User Understanding
Audiences, Customers, and Users are Roles
Audience, customers, and users are roles. People are assigned (or assume) these roles for clarity in a given context. Role is temporarily adopting the perspective of a particular platform, product, or system in a specific context. People place themselves as the intended group for that entity/service. Roles help evaluate usability, identify issues, and gain insights…… Continue reading Audiences, Customers, and Users are Roles
Differences Among Audiences, Customers, and Users
For Audiences, Customers, and Users – often interested in different analytics Audiences Typical analytics: likes, shares, comments, tags, reposting KPIs – engagements, dialog, conversations Customers Typical analytics: Impressions, clicks, CTR, CR, ROAI, reviews KPIs – purchases, revenue, money Users Typical analytics: Time on Task, performance, ease of use KPIs – usability, satisfaction See more about…… Continue reading Differences Among Audiences, Customers, and Users
What is a user?
Users are a group of people interacting with a system or device, utilizing the features and functions provided to perform tasks or achieve goals. User Types: can range from casual individuals to professionals who rely on complex software for specialized purposes. User Concept is fundamental to the design and development, as it helps determine how…… Continue reading What is a user?