Detecting Age-Related Linguistic Patterns in Dialogue : Toward Adaptive Conversational Systems

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Controllable Text Generation for All Ages : Evaluating a Plug-and-Play Approach to Age-Adapted Dialogue

Funding Information: We would like to thank the four anonymous GEM reviewers for their valuable feedback and the participants of our crowdsourcing experiments. The work received funding from the University of Amsterdam’s Research Priority Area Human(e) AI and from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 819455).Publisher PD

Bias in candidate sourcing communication:Investigating stereotypical gender- and age-related frames in online job advertisements at the sectoral level

Job advertisements hold a wealth of knowledge for the public relations field about complex internal and external organizational dynamics. They reflect enduring social and sectoral cultural proclivities and associated stereotypes about workers. We examine the presence of stereotypical frames in job advertisements from sectors with varying gender and age social group composition. Guided by social categorization framing and the stereotype content model, we operationalize stereotypical warmth- and competence-related frames in candidate sourcing communication. Automated content analysis was conducted on a dataset of online job ad sentences (n = 308,583) from 16,135 job ads. Results indicate warmth-related frames are most observed in ads from female-dominated (vs. male-dominated) sectors and younger-dominated (vs. older-dominated and mixed-age) sectors. Conversely, competence-related frames are most observed in ads from male-dominated (vs. female-dominated and mixed-age) sectors and older-dominated (vs. younger-dominated and mixed-age) sectors. We additionally find candidate gender stereotypes may supersede age stereotypes in hiring contexts. Implications are discussed in light of socialization and structuralist forces and their influence on organizational communication in homogeneous and heterogeneous sectors.</p

Bias in candidate sourcing communication:Investigating stereotypical gender- and age-related frames in online job advertisements at the sectoral level

Job advertisements hold a wealth of knowledge for the public relations field about complex internal and external organizational dynamics. They reflect enduring social and sectoral cultural proclivities and associated stereotypes about workers. We examine the presence of stereotypical frames in job advertisements from sectors with varying gender and age social group composition. Guided by social categorization framing and the stereotype content model, we operationalize stereotypical warmth- and competence-related frames in candidate sourcing communication. Automated content analysis was conducted on a dataset of online job ad sentences (n = 308,583) from 16,135 job ads. Results indicate warmth-related frames are most observed in ads from female-dominated (vs. male-dominated) sectors and younger-dominated (vs. older-dominated and mixed-age) sectors. Conversely, competence-related frames are most observed in ads from male-dominated (vs. female-dominated and mixed-age) sectors and older-dominated (vs. younger-dominated and mixed-age) sectors. We additionally find candidate gender stereotypes may supersede age stereotypes in hiring contexts. Implications are discussed in light of socialization and structuralist forces and their influence on organizational communication in homogeneous and heterogeneous sectors.</p

Age Differences in Media Multitasking: A Diary Study

This study provides insight in age differences in the amount of media multitasking and in the media that people combine. Results of a diary study (N = 3,048) among 13- to 65-year-olds reject the popular notion that media multitasking is particularly prevalent among young people. The youngest (13-16 years) and the oldest (50-65 years) age groups did distinguish themselves in terms of media combinations. The youngest group particularly combined music with online activities, whereas the oldest group was unique in combining radio with e-mail or newspapers. A plausible explanation for these age differences in media multitasking are lifespan related and generational differences in media use in general