The Experts below are selected from a list of 273 Experts worldwide ranked by ideXlab platform
Susan Masterson-allen - One of the best experts on this subject based on the ideXlab platform.
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The toxic waste movement: A new type of activism
Society & Natural Resources, 1994Co-Authors: Phil Brown, Susan Masterson-allenAbstract:Unlike other health‐related Social movements such as the women's movement and an‐tinuclear movement, the toxic waste movement is not composed primarily of highly educated, upper middle class people who are motivated by global concerns. Toxic waste activists are typically working class and lower middle class people, politicized initially by perceptions of danger to the health of their families. However, awareness of global dangers and the larger political‐economic issues related to toxic waste contamination often emerges in the mobilization process. This movement is part of a larger Social Trend toward increased public demand for a role in scientific and technological decision making, which challenges scientific criteria for assessing risk. Whereas toxic waste activism is better explained by “new Social movement”; theory than by resource mobilization theory, the former does not account for the toxic waste movement's class composition. Drawing on the political process model and frame transformation approach...
Phil Brown - One of the best experts on this subject based on the ideXlab platform.
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The toxic waste movement: A new type of activism
Society & Natural Resources, 1994Co-Authors: Phil Brown, Susan Masterson-allenAbstract:Unlike other health‐related Social movements such as the women's movement and an‐tinuclear movement, the toxic waste movement is not composed primarily of highly educated, upper middle class people who are motivated by global concerns. Toxic waste activists are typically working class and lower middle class people, politicized initially by perceptions of danger to the health of their families. However, awareness of global dangers and the larger political‐economic issues related to toxic waste contamination often emerges in the mobilization process. This movement is part of a larger Social Trend toward increased public demand for a role in scientific and technological decision making, which challenges scientific criteria for assessing risk. Whereas toxic waste activism is better explained by “new Social movement”; theory than by resource mobilization theory, the former does not account for the toxic waste movement's class composition. Drawing on the political process model and frame transformation approach...
Lisa Dong - One of the best experts on this subject based on the ideXlab platform.
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My pronouns are they/them: Talking about pronouns changes how pronouns are understood
Psychonomic Bulletin & Review, 2021Co-Authors: Jennifer E. Arnold, Heather C. Mayo, Lisa DongAbstract:The pronoun “they” can be either plural or singular, perhaps referring to an individual who identifies as nonbinary. How do listeners identify whether “they” has a singular or plural sense? We test the role of explicitly discussing pronouns (e.g., “Alex uses they/them pronouns”). In three experiments, participants read short stories, like “Alex went running with Liz. They fell down.” Answers to “Who fell down” indicated whether participants interpreted they as Alex or Alex-and-Liz. We found more singular responses in discourse contexts that make Alex more available: when Alex was either the only person in the context or mentioned first. Critically, the singular interpretation was stronger when participants heard explicit instructions that Alex uses they/them pronouns, even though participants in all conditions had ample opportunity to learn this fact through observation. Results show that the Social Trend to talk about pronouns has a direct impact on how language is understood.
Iuliia Chepurna - One of the best experts on this subject based on the ideXlab platform.
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Social Filtering: User-Centric Approach to Social Trend Prediction
2016 IEEE WIC ACM International Conference on Web Intelligence (WI), 2016Co-Authors: Iuliia Chepurna, Masoud MakrerhchiAbstract:The majority of techniques in socio-behavioral modeling tend to consider user-generated content in a bulk, with the assumption that this sort of aggregation would not have any negative impact on overall predictability of the system, which is not necessarily the case. We propose a novel user-centric approach designed specifically to capture most predictive hidden variables that can be discovered in a context of the specific individual. The concept of Social filtering closely resembles collaborative filtering with the main difference that none of the considered users intentionally participates in the recommendation process. Its objective is to determine both the subset of best expert users able to reflect a particular Social Trend of interest and their transformation into feature space used for modeling. We introduce three-step selection procedure that includes activity-and relevance-based filtering and ensemble of expert users, and show that proper choice of expert individuals is critical to prediction quality.
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SBP - How to Predict Social Trends by Mining User Sentiments
Social Computing Behavioral-Cultural Modeling and Prediction, 2015Co-Authors: Iuliia Chepurna, Somayyeh Aghababaei, Masoud MakrehchiAbstract:The majority of techniques in socio-behavioral modelling tend to consider user-generated content in a bulk, which may ignore personal contributions of specific users to predictability of the system. We propose a novel user-based approach designed specifically to capture most predictive hidden variables which can be discovered in a context of specific individual only. User content is assessed to determine both the subset of best, “expert”, users able to reflect particular Social Trend of interest, and their transformation into feature space used for modelling. The technique is tested on a case study of Chicago crime rate Trend prediction using historical tweets of selected citizens. We also propose a new user ranking approach which exploits the concept of user credibility.
Masoud Makrerhchi - One of the best experts on this subject based on the ideXlab platform.
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Social Filtering: User-Centric Approach to Social Trend Prediction
2016 IEEE WIC ACM International Conference on Web Intelligence (WI), 2016Co-Authors: Iuliia Chepurna, Masoud MakrerhchiAbstract:The majority of techniques in socio-behavioral modeling tend to consider user-generated content in a bulk, with the assumption that this sort of aggregation would not have any negative impact on overall predictability of the system, which is not necessarily the case. We propose a novel user-centric approach designed specifically to capture most predictive hidden variables that can be discovered in a context of the specific individual. The concept of Social filtering closely resembles collaborative filtering with the main difference that none of the considered users intentionally participates in the recommendation process. Its objective is to determine both the subset of best expert users able to reflect a particular Social Trend of interest and their transformation into feature space used for modeling. We introduce three-step selection procedure that includes activity-and relevance-based filtering and ensemble of expert users, and show that proper choice of expert individuals is critical to prediction quality.
