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FrameAxis: Characterizing Framing Bias and Intensity with Word Embedding

We propose FrameAxis, a method of characterizing the framing of a given text by identifying the most relevant semantic axes (\"microframes\") defined by antonym word pairs. In contrast to the traditional framing analysis, which has been constrained …

Going beyond accuracy: estimating homophily in social networks using predictions

Persona Perception Scale: Development and Exploratory Validation of an Instrument for Evaluating Individuals’ Perceptions of Personas

Although used in many domains, the evaluation of personas is difficult due to the lack of validated measurement instruments. To tackle this challenge, we propose the Persona Perception Scale (PPS), a survey instrument for evaluating how individuals …

Discursive Power in Contemporary Media Systems: A Comparative Framework

Contemporary media systems are in transition. The constellation of organizations, groups, and individuals contributing information to national and international news flows has changed as a result of the digital transformation. The 'hybrid media …

Social media mining for journalism

Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media

The Workshop Program of the Association for the Advancement of Artificial Intelligence’s 12th International Conference on Web and Social Media (AAAI-18) was held at Stanford University, Stanford, California USA, on Monday, June 25, 2018. There were …

Imaginary People Representing Real Numbers: Generating Personas from Online Social Media Data

We develop a methodology to automate creating imaginary people, referred to as personas, by processing complex behavioral and demographic data of social media audiences. From a popular social media account containing more than 30 million interactions …

Are personas done?: Evaluating the usefulness of personas in the age of online analytics

In this research, we conceptually examine the use of personas in an age of large-scale online analytics data. Based on the criticism and benefits outlined in prior work and by practitioners working with online data, we formulate the major arguments …

Customer segmentation using online platforms: isolating behavioral and demographic segments for persona creation via aggregated user data

We propose a novel approach for isolating customer segments using online customer data for products that are distributed via online social media platforms. We use non-negative matrix factorization to first identify behavioral customer segments and …

From 2,772 segments to five personas: Summarizing a diverse online audience by generating culturally adapted personas

Understanding users in the era of social media is challenging, requiring organizations to adopt novel computation-aided approaches. To exemplify such an approach, we retrieved information on millions of interactions with YouTube video content from a …