從Instagram 上的圖片內容特徵來預測用戶的個性

Predicting Personalities from Instagram Using Picture Content Features

安杜拉(Salazar Vega, Eduardo Enrique)

指導教授 ： 蘇豐文

國立清華大學/電機資訊學院/資訊系統與應用研究所/碩士(2019年)

摘要

社交媒體是用戶向世界展示自己的地方，揭示個人細節和對他們生活 的見解。
近年來，Instagram已成為一種流行的社交網絡應用程式，此允許 人們通過發布圖片來表達自己。
在本論文中，我們只對他們對人格測驗感興趣其僅利用他們的圖 片內容做分析。
人格測驗已被證明與許多類型的互動有關;
它已被證明有助於預測工作滿意度，專業和浪漫的關係成功，甚 至偏好不同的界面。
為了收集數據，我們使用不同的主題標籤和在此主題標籤上發布 的用戶的內容收集了內容。
我們收集了來自2,735名用戶的圖像和總共20,233份用戶，經過整 理過和再預先處理後，我們最終獲得了2,294張圖片和16,203張圖片。
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在本論文中，我們提出了一種方法，通過該方法可以藉 由Instagram個人資料中的公開圖片內容而準確預測用戶的個性。
我們將描述收集的數據類型，收集方式，分析方法以及通過機器 學習預測人格特質的結果。
我們提出了一個框架，使用BigFive模型利用在Instagram個人資料 中的公開圖片內容來預測人格特質。
我們將這些結果與之前的工作進行了比較，以衡量結果的準確 性。

關鍵字

社交媒體 ； 深度學習 ； 人格預測

並列摘要

Social media is a place where users show themselves to the world, reveal- ing personal details and insights into their lives. In the recent years Insta- gram has become a popular social network application that allows people to express themselves through posting pictures. In this paper, we are inter- ested in personality predictions using only their pictures content. Person- ality has been shown to be relevant to many types of interactions; it has been shown to be useful in predicting job satisfaction, professional and ro- mantic relationship success, and even preference for different interfaces. To collect the data, we collected the content using different hasthtags and the content of the users posting on this hastagas. We collected images from 2,735 Instragram profiles and a total of 20,233 images that after cleaning and pre-processing we end up with 2,294 valid Instagram profiles and a to- tal of 16,203 images. In this paper, we present a method by which a user’s
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personality can be accurately predicted through the publicly available pic- ture content from their Instagram profiles. We will describe the type of data collected,how was collected, our methods of analysis, and the results of predicting personality traits through machine learning. We propose a framework to predict personality traits using BigFive model using publicly available picture content from their Instagram profiles. We compared these results to previous work to measure the accuracy of the results.

並列關鍵字

social media ； deep learning ； personality prediction

參考文獻

[1] Bruce Ferwerda and Marko Tkalcic. You are what you post: What the content of instagram pictures tells about users’ personality. In The 23rd International on Intelligent User Interfaces, March 7-11, Tokyo, Japan, 2018.

[2] Shannon Greenwood, Andrew Perrin, and Maeve Duggan. Social me- dia update 2016. Pew Research Center, 11(2), 2016.

[3] Rong Hu and Pearl Pu. Enhancing collaborative filtering systems with personality information. In Proceedings of the fifth ACM conference on Recommender systems, pages 197–204. ACM, 2011.

[4] Denis Bratko, Ana Butkovic, and Michael Bosnjak. Twin study of im- pulsive buying and its overlap with personality. Journal of Individual Differences, 2013.

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