Image, Word, Action: Interpersonal Dynamics in a Photo-Sharing Community

John Suler

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Image, Word, Action: Interpersonal Dynamics in a Photo-Sharing Community

机译：图像，文字，动作：照片共享社区中的人际动态

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In online photo-sharing communities, the individual's expression of self and the relationships that evolve among members is determined by the kinds of images that are shared, by the words exchanged among members, and by interpersonal actions that do not specifically rely on images or text. This article examines the dynamics of personal expression via images in Flickr, including a proposed system for identifying the dimensions of imag-istic communication and a discussion of the psychological meanings embedded in a sequence of images. It explores how photographers use text descriptors to supplement their images and how different types of comments on photographs influence interpersonal relationships. The "fav"-when members choose an image as one of their favorites-is examined as one type of action that can serve a variety of interpersonal functions. Although images play a powerful role in the expression of self, it is the integration of images, words, and actions that maximize the development of relationships.

机译：在在线照片共享社区中，个人的自我表达和成员之间发展的关系由共享图像的种类，成员之间交换的单词以及不特别依赖图像或文本的人际行为决定。本文通过Flickr中的图像检查了个人表达的动力，包括一个用于确定影像交流维度的拟议系统，以及对嵌入图像序列中的心理含义的讨论。它探讨了摄影师如何使用文本描述符来补充其图像，以及照片上不同类型的评论如何影响人际关系。当成员选择图像作为其收藏夹之一时，“收藏夹”被视为一种可以充当多种人际交往功能的动作。尽管图像在自我表达中发挥着强大的作用，但正是图像，单词和动作的整合才能最大限度地发展关系。

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《CyberPsychology & Behavior》 |2008年第5期|p.555-560|共6页
作者
John Suler;
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Department of Psychology, Rider University, Lawrenceville, New Jersey;

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正文语种 eng
中图分类心理学;
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1. Image, Word, Action: Interpersonal Dynamics in a Photo-Sharing Community [J] . John Suler CyberPsychology & Behavior . 2008,第5期

机译：图像，文字，动作：照片共享社区中的人际动态
2. The Word of Mouth Dynamic: How Positive (and Negative) WOM Drives Purchase Probability:An Analysis of Interpersonal and Non-Interpersonal Factors [J] . RODOLFO VAZQUEZ-CASIELLES, LETICIA SUAREZ-ALVAREZ, ANA-BELEN DEL RIO-LANZA Journal of advertising research . 2013,第1期

机译：口口相传：积极（和消极）的WOM如何驱动购买概率：人际和非人际因素分析
3. Keyword grouping and image feature extraction for two-way search between words and images [J] . Yasuhide Mori, Hironobu Takahashi, Ryuichi Oka 電子情報通信学会技術研究報告. マルチメディア·仮想環境基礎 . 2000,第184期

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4. Performance Improvement through Interpersonal Communication and Job Satisfaction (Empirical Study of Nurses in Puskesmas/Community Health Center) in Makassar, Indonesia [C] . Fauziah, Isnawati Osman, Dian A. S. Parawansa, International Conference on Accounting, Management, and Economics . 2019

机译：通过人际交流和工作满意度（Puskesmas / Community Healt Cent中护士的实证研究）在印度尼西亚
5. Interpersonal Dynamics and Necessary Evils: The Role of Emotional Reactions in Shaping Interpersonally Sensitive Behaviors [D] . Genzer, Boris. 2019

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6. Self-Organized Complementary Joint Action: Behavioral Dynamics of an Interpersonal Collision-Avoidance Task [O] . Michael J. Richardson, Steven J. Harrison, Rachel W. Kallen, -1

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7. Figure 3: (A–D) TFMN frames around “woman” (A), “man” (B) and “person” (D). Words are clustered in communities obtained via the Louvain algorithm (cf. Konstantinidis, Papadopoulos Kompatsiaris, 2017). Words in the same community of “woman” in A are plotted through a hierarchical edge-bundling visualisation in C. Positive (negative) words and links are highlighted in cyan (red). Links between positive and negative concepts are reported in purple. Semantic links between synonyms are in green. (E–F) Emotional profiles for the frames of “woman” (E) and “man” (F) indicate the fraction of concepts in a frame eliciting a certain emotion. [O] . -1

机译：图3：（a-d）“女人”（a），“man”（b）和“人”（d）周围的TFMN框架。用Louvain算法（CF.Konstantinidis，Papadopoulos＆Kompatsiaris，2017年）的群体聚集在一起。在A中的“女人”中的单词通过C.正面（负）单词和链接在Cyan（红色）中突出显示了“女人”中的“女人”的单词。紫色报道了正面和消极概念之间的链接。同义词之间的语义链接是绿色的。（E-F）“女”（e）和“人”（f）框架的情感概况表明框架中诱因某种情绪的概念的比例。

Image, Word, Action: Interpersonal Dynamics in a Photo-Sharing Community

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