Although deepfakes have a negative connotation in human-computer interaction (HCI) due to their risks, they also involve many opportunities, such as communicating user needs in the form of a “living, talking” deepfake persona. To scope and better understand these opportunities, we present a qualitative analysis of 46 participants’ think-aloud transcripts based on interacting with deepfake…… Continue reading How Do Users Perceive Deepfake Personas? Investigating the Deepfake User Perception and Its Implications for Human-Computer Interaction
Category: Web analytics
StoryOptimizer – Leveraging AI for better cross platform social media content creation
If your organization does cross-platform posting (i.e., posts the same or similar content on multiple social media platforms). As part of our Acua system, we’ve developed a feature that takes a generic post and automatically optimizes it for 6 social media platforms. See below. We have already tested the feature in a 900-person user study,…… Continue reading StoryOptimizer – Leveraging AI for better cross platform social media content creation
SegmentSizeEstimator estimates the segment size based on language, country, gender, age-range, and topical interest
SegmentSizeEstimator estimates the segment size based on language, country, gender, age range, and topical interest. Moreover, it finds the most likable topical interest based on the given story and provides related segment sizes. This is powered by Facebook Ads API and (if available) Twitter Ads API. Give it a try! SegmentSizeEstimator Read more! Jansen, B.…… Continue reading SegmentSizeEstimator estimates the segment size based on language, country, gender, age-range, and topical interest
Text2Toxicity predicts a text’s toxicity
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
Analytics Systems are Sporadic Use but Constant Collection
Analytics systems are information services that are used to analyze and interpret data to gain insights, identify patterns, and support decision-making processes. Analytics systems are one of the unique information services that are a combination of sporadic use but require constant data collection. Sporadic or occasional use information systems are information services that are used…… Continue reading Analytics Systems are Sporadic Use but Constant Collection
Core Elements of a Web Analytics Process
Here is a description of a web analytics process with just the core stages. The core of a Web analytics process consists of four essential stages, shown below. Collecting data: At this stage, you collect the basic, elementary data. Typically, these data are counts of things or events. Processing of data into information: At this…… Continue reading Core Elements of a Web Analytics Process
Big Data Fallacy
Big Data Fallacy. The law of large numbers argues that the sample’s mean approaches the sample population’s actual average as a sample size increases. This concept is often, either implicitly or explicitly, taken as a justification as to why ‘big data’ (i.e., millions or billions of samples) cannot be wrong. However, there are contrary arguments and…… Continue reading Big Data Fallacy