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Social Scripts02:10

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People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter),...
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Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned...
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Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
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Social Loafing01:37

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Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
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Social Exchange Theory02:06

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We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
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Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions
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Observing vegetation phenology through social media.

Sam J Silva1, Lindsay K Barbieri2, Andrea K Thomer3

  • 1Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.

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|May 11, 2018
PubMed
Summary

Social media images from Twitter reveal seasonal vegetation changes in U.S. National Parks. This novel data source correlates with satellite measurements, offering new insights for environmental monitoring.

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Area of Science:

  • Environmental Science
  • Remote Sensing
  • Ecology

Background:

  • Social media platforms generate vast amounts of underutilized data relevant to environmental science.
  • Vegetation phenology, the study of plant life cycle events, is crucial for understanding ecosystem dynamics.

Purpose of the Study:

  • To explore the potential of Twitter images for monitoring vegetation phenology across U.S. National Parks.
  • To assess the correlation between social media-derived greenness indices and established remote sensing data.

Main Methods:

  • A subset of images from Twitter within eight U.S. National Parks was processed.
  • Analysis focused on quantifying the relative green vegetation within these images.
  • Statistical analysis was performed to identify seasonal cycles and compare with satellite-derived Normalized Difference Vegetation Index (NDVI).

Main Results:

  • Statistically significant seasonal cycles in vegetation greenness were detected across most National Parks.
  • These cycles align with expected patterns of spring green-up and fall senescence.
  • Social media greenness indices showed a moderate positive correlation (r = 0.62) with monthly mean satellite NDVI.

Conclusions:

  • Twitter images represent a valuable, albeit unconventional, data source for tracking vegetation phenology.
  • This approach can supplement traditional monitoring, especially in areas with limited scientific infrastructure.
  • Social media data holds potential for improving ecological models and environmental change detection.