What Twitter Profile and Posted Images Reveal About Depression and Anxiety

Previous work has found strong links between the choice of social media images and users' emotions, demographics and personality traits. In this study, we examine which attributes of profile and posted images are associated with depression and anxiety of Twitter users. We used a sample of 28,749 Facebook users to build a language prediction model of survey-reported depression and anxiety, and validated it on Twitter on a sample of 887 users who had taken anxiety and depression surveys. We then applied it to a different set of 4,132 Twitter users to impute language-based depression and anxiety labels, and extracted interpretable features of posted and profile pictures to uncover the associations with users' depression and anxiety, controlling for demographics. For depression, we find that profile pictures suppress positive emotions rather than display more negative emotions, likely because of social media self-presentation biases. They also tend to show the single face of the user (rather than show her in groups of friends), marking increased focus on the self, emblematic for depression. Posted images are dominated by grayscale and low aesthetic cohesion across a variety of image features. Profile images of anxious users are similarly marked by grayscale and low aesthetic cohesion, but less so than those of depressed users. Finally, we show that image features can be used to predict depression and anxiety, and that multitask learning that includes a joint modeling of demographics improves prediction performance. Overall, we find that the image attributes that mark depression and anxiety offer a rich lens into these conditions largely congruent with the psychological literature, and that images on Twitter allow inferences about the mental health status of users.Comment: ICWSM 201

What your Facebook Profile Picture Reveals about your Personality

People spend considerable effort managing the impressions they give others. Social psychologists have shown that people manage these impressions differently depending upon their personality. Facebook and other social media provide a new forum for this fundamental process; hence, understanding people's behaviour on social media could provide interesting insights on their personality. In this paper we investigate automatic personality recognition from Facebook profile pictures. We analyze the effectiveness of four families of visual features and we discuss some human interpretable patterns that explain the personality traits of the individuals. For example, extroverts and agreeable individuals tend to have warm colored pictures and to exhibit many faces in their portraits, mirroring their inclination to socialize; while neurotic ones have a prevalence of pictures of indoor places. Then, we propose a classification approach to automatically recognize personality traits from these visual features. Finally, we compare the performance of our classification approach to the one obtained by human raters and we show that computer-based classifications are significantly more accurate than averaged human-based classifications for Extraversion and Neuroticism

How HEXACO personality traits predict different selfie-posting behaviors among adolescents and young adults

Selfies are usually defined as self-portrait photos shared on social networks. Recent studies investigated how personality traits, and specifically narcissism, can be associated to different kinds of selfies. The HEXACO model, a new theory on personality structure, investigates personality on six dimensions, among which there is the Honesty/Humility trait, found strongly and negatively associated to narcissism. Thus, this study aims to investigate how different kinds of selfies could be predicted by HEXACO personality traits, controlling for age, gender and sexual orientation. Participants were 750 adolescents and young adults (59.1% girls, N = 443) from 13 to 30 years (Mage = 20.96; SDage = 4.23) who completed an online survey composed by the Kinsey scale, three questions about the frequency of different kinds of selfies (i.e. own selfies, group selfies and selfies with partner) and 60-item Hexaco Personality Inventory-Revised. Results showed that females, adolescents and not- exclusively heterosexuals posted more own selfies, and that adolescents posted also more group selfies and selfies with partner. Moreover lower Honesty/Humility, lower Conscientiousness, higher Emotionality and higher Extraversion significantly predict both own selfies and group selfies. Finally, only lower Honesty/Humility and higher Emotionality predict selfies with partner. Results suggested a common pattern of personality traits that can explain selfies behaviors according to literature on HEXACO model. Specifically, these findings enlightened that Honesty/Humility and Emotionality traits seem to be relevant in understanding selfies. People who post more selfies are lower in Honesty/Humility, showing a strong sense of self-importance and feeling superior. Moreover, they show higher Emotionality that is related to looking for social reinforcement on social networks. Only for own and group selfies, people high in Extraversion probably feel self-confident in groups, also in the online dimension, and low extraverted people probably posted less frequently because they feel uncomfortable being at the center of attention. Finally, people with high Conscientiousness spend less time online because they consider social networks as a distraction from their tasks. Thus, HEXACO model allows to better understand which personality traits can predict different kinds of selfies. Limitations and implications for future research are discussed

Scroll In Color: Examining How Colors in Instagram Pictures Illicit Emotions in Users

This study aims to understand if colors in Instagram pictures causes emotions in users. The methods involved in this study included a survey where respondents were presented with questions asking them how certain colors made them feel and users were also presented with pictures with varying color undertones and asked which picture made them feel a specific emotion. This study may provide indications for further research and advertising and public relations techniques using social media, specifically Instagram and utilizing colors within Instagram pictures

Study of Approaches to Predict Personality Using Digital Twin

With a growing proportion of online activities on social networking sites on different mediums like Facebook, Instagram, Twitter, LinkedIn the requirement for personality prediction associated with this online mediated behavior has also increased significantly. The user generated content on social media can be effectively leveraged to record, analyze and predict personality through different psychological approaches like MBTI, Big Five, and DISC. Predicting personality has displayed an intrinsic influence in multifarious domains like career choice, political influence, brand inclination, customized advertising, improvising learning outcomes, recommender system algorithms and so on. The objective of this paper is to stipulate an overview of different strategies used by researchers to predict personality based on the social media usage and user generated content across prominent social media platforms. It was observed that the personality traits can be accurately inferred from user behavior reflected on social media through attributes like status posted, pictures uploaded, number of friends, groups joined, network density, liked content. As of now, Facebook followed by Twitter are the most prominent social media platforms for conducting the study however, the use other social media platforms like Instagram, LinkedIn are expected to increase exponentially for carrying out personality prediction study

Social Media’s Effect on Mental Health: How America’s Youth are More Vulnerable to its Negative Implications

This article explores the potentially negative psychological effects social media photo-sharing platforms have on America’s adolescents. While most studies on mental health effects related to social media use have focused on Facebook and the young adult age group 18-35, this article focuses on users under the age of 18 with an emphasis on Instagram and Snapchat – the two most rapidly growing social networking sites for adolescents. Photo-sharing sites have characteristics different than other social media sites, specifically the ability to alter photos and to communicate live time through videos and photos, which may have different mental health consequences on younger populations. Through a review of previous academic research, and a survey administered to a sample population under the age of 18, this article analyzes how social comparisons, a need for external validation, and a fear of missing out and exclusion may affect adolescents more than older adults due to the fact that they are in a critical developmental period where self-esteem and self-worth can be particularly influenced by peers and social media. While some argue that social media, including photo-sharing sites, may allow adolescents more social contact, opportunities for self-esteem building, and a chance for those who are shy or with low self-esteem to experiment in a safer environment than face to face contact, this article shows that the opposite is also true: that excessive use of photo-sharing sites may lead to negative mental health consequences due to social comparisons, a fear of missing out, and an unhealthy desire to attain external validation from peers. The article also suggests that adolescents with deceptive personalities, Machiavellian personalities, and high social desirability needs may be more vulnerable to some of the risks of social media use, and that identifying at-risk individuals may allow teachers, counselors, and parents to help them navigate their social media world during an influential time in their lives

Personality and content preferences on social network sites in South Africa

A research report submitted to the Faculty of Commerce, Law and Management, University of the Witwatersrand, in partial fulfilment of the requirements for the degree of Master of Management in Strategic Marketing Johannesburg, 2016Worldwide, visual content, such as photos and videos, have increased dramatically on social network sites (SNS), with South Africa being no exception. Due to these developments, marketers are increasingly interested in the factors that impact the usage of these sites, in order to develop branded content that will attract and engage users. However, there is a lack of academic research revealing how individual consumer factors, such as personality, influence SNS users’ preferences for different types of content on SNS, particularly within an emerging market such as South Africa. The purpose of this study was to investigate the relationship between two personality traits – need for cognition (NFC) and need for affect (NFA) – and visual and verbal content preference on SNS in South Africa. The study also briefly examined whether demographic variables (gender and age) and SNS usage factors had an impact on the relationships between these variables. An online survey and pen-and-paper questionnaire were conducted. 307 social network site users were obtained primarily from two South African universities through convenience sampling. Data was analysed using correlation analysis, analysis of variance (ANOVA) and standard multiple linear regression on SPSS. The main findings showed that personality does have an influence (albeit small) on SNS users’ preference for visual or verbal content, and warrants consideration by marketing organisations in the design of SNS content. Visual content preference on SNS was found to have a positive relationship with NFA and a negative relationship with NFC. Verbal content preference had a positive relationship with NFC but no significant relationship with NFA. Demographic and SNS usage variables showed mixed results in their impact on SNS content preference. It was recommended that future studies include other variables that could affect SNS content preference, as well as use more objective measures (rather than self-reporting) to determine SNS users’ actual behaviour. Key words: Social network sites, personality traits, need for cognition, need for affect, visual content, verbal content, South Africa, emerging marketGR201