POSTER: The Personalities of Social Media Posts and Photos

被引:0
|
作者
Wagner, Anne [1 ]
Bakas, Anna [1 ]
Reyes, Daisy [1 ]
Kennison, Shelia [2 ]
Chan-Tin, Eric [1 ]
机构
[1] Loyola Univ Chicago, Chicago, IL 60660 USA
[2] Oklahoma State Univ, Stillwater, OK 74078 USA
基金
美国国家科学基金会;
关键词
Tweets; Object Recognition; Personality;
D O I
10.1145/3488932.3527291
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
What a person chooses to share on social media can be very telling as to what their personality is. A person can show their personality through how many photos they post, what kinds of photos they post, and what kind of language they tend to use. This research investigates the correlation between a person's personality type and the photos and tweets which that person posts. Social media information and personality types were collected from two different platforms, SONA (college-age students) and MTurk (crowdsourcing platform). The same survey was given to both platforms. Participants answered questions pertaining to their personality, and based on these answers were assigned a True Color and scores for Big Five. Our results show that people who identified with the green True Color self schema tended to share more photos than the other True Color categories. Additionally, our results show that people with Open personality types tend to post more photos than other Big Five personality types, and those photos tend to have more people in them than other personality types.
引用
收藏
页码:1231 / 1233
页数:3
相关论文
共 50 条
  • [21] Hashtag recommendation for enhancing the popularity of social media posts
    Chakrabarti, Purnadip
    Malvi, Eish
    Bansal, Shubhi
    Kumar, Nagendra
    [J]. SOCIAL NETWORK ANALYSIS AND MINING, 2023, 13 (01)
  • [22] Emotion Maps based on Geotagged Posts in the Social Media
    Doytsher, Yerach
    Galon, Ben
    Kanza, Yaron
    [J]. GEOHUMANITIES'17: PROCEEDINGS OF THE 1ST ACM SIGSPATIAL WORKSHOP ON GEOSPATIAL HUMANITIES, 2017, : 39 - 46
  • [23] Predicting the Type and Target of Offensive Posts in Social Media
    Zampieri, Marcos
    Malmasi, Shervin
    Nakov, Preslav
    Rosenthal, Sara
    Farra, Noura
    Kumar, Ritesh
    [J]. 2019 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL HLT 2019), VOL. 1, 2019, : 1415 - 1420
  • [24] Predicting Depression Levels Using Social Media Posts
    Aldarwish, Maryam Mohammed
    Ahmed, Hafiz Farooq
    [J]. 2017 IEEE 13TH INTERNATIONAL SYMPOSIUM ON AUTONOMOUS DECENTRALIZED SYSTEMS (ISADS 2017), 2017, : 277 - 280
  • [25] Social media posts end up in vet disciplinary
    Loeb, Josh
    [J]. VETERINARY RECORD, 2019, 184 (18) : 538 - 538
  • [26] #mothersday: Constructions of motherhood and femininity in social media posts
    Capdevila, Rose
    Dann, Charlotte
    Lazard, Lisa
    Roper, Sandra
    Locke, Abigail
    [J]. FEMINISM & PSYCHOLOGY, 2022, 32 (03) : 336 - 356
  • [27] A Topic Detection and Visualisation System on Social Media Posts
    Andreadis, Stelios
    Gialampoukidis, Ilias
    Vrochidis, Stefanos
    Kompatsiaris, Ioannis
    [J]. INTERNET SCIENCE, 2017, 10673 : 421 - 427
  • [28] Analysis of Social Media Posts That Promote Women Surgeons
    Stevens, Carly R.
    Merk, Katie
    Ierulli, Victoria K.
    Mulcahey, Mary K.
    [J]. JOURNAL OF SURGICAL EDUCATION, 2023, 80 (05) : 682 - 688
  • [29] Multimodal Semantic Mismatch Detection in Social Media Posts
    Wang, Kehan
    Zhao, Seth Z.
    Chan, David
    Zakhor, Avideh
    Canny, John
    [J]. 2022 IEEE 24TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2022,
  • [30] Sentiment Analysis on Educational Posts from Social Media
    Relucio, Floradel S.
    Palaoag, Thelma D.
    [J]. 2018 9TH INTERNATIONAL CONFERENCE ON E-EDUCATION, E-BUSINESS, E-MANAGEMENT AND E-LEARNING (IC4E 2018), 2018, : 99 - 102