Characterizing the personality of twitter users based on their timeline information

Personality is a set of characteristics that differentiate a person from others. It can be identified by the words that people use in conversations or in publications that they do in social networks. Most existing work focuses on personality prediction analyzing English texts. In this study we analyzed publications of the Portuguese users of the social network Twitter. Taking into account the difficulties in sentiment classification that can be caused by the 140 character limit imposed on tweets, we decided to use different features and methods such as the quantity of followers, friends, locations, publication times, etc. to get a more precise picture of a personality. In this paper, we present methods by which the personality of a user can be predicted without any effort from the Twitter users. The personality can be accurately predicted through the publicly available information on Twitter profiles.A personalidade traduz-se num conjunto de características que diferenciam uma pessoa de outras. Pode ser identificada pelas palavras que as pessoas usam numa conversa ou em publicações que fazem nas redes sociais. A maioria dos trabalhos existentes na literatura estão focados na previsão de personalidade analisando textos em Inglês. Neste estudo, foram analisadas publicações dos utilizadores Portugueses na rede social Twitter. Tendo em conta que o limite de 140 caracteres imposto aos tweets pode dificultar a classificação dos sentimentos dos textos produzidos, foi decidido usar diferentes características e métodos tais como locais, tempo de publicação, quantidade de seguidores, quantidade de amigos, etc., para obter uma imagem mais completa da personalidade. Este documento apresenta um método para fazer a previsão da personalidade de utilizadores do Twitter, com base na informação existente e sem qualquer esforço do lado desses utilizadores. A personalidade pode ser calculada através da informação pública disponível

Adoption and Use of Social Media Among Registered Dietitians Nationwide: Implications for Health Communication

abstract: Currently, there has been limited research on evaluating the social media use and competency level of registered dietitian/nutritionists (RD/N). With health information increasingly sought on social media, it is imperative to understand the social media competency of health professionals. The social media use, reach, and competency level of a nationwide RD/N sample was assessed utilizing an online survey. The sample (n=500) while mostly female (97%) was representative of RD/Ns compared to the nationwide statistics from the Commission on Dietetic Registration. The sample included RD/Ns from forty-six states with California (n=44), New York (n=42), and Texas (n=34) having the largest proportion of respondents. The majority of RD/Ns engage in social media for personal use (92.4%) and 39.2% engage for professional use. One hundred and twenty-five RD/Ns reported 777 ± 1063 (mean ± SD) social media followers. As compared to non-millennial RD/Ns, millennial RD/Ns engaged significantly more in social media for personal and professional use (+10% and +13.5% respectively, p<0.001) and scored significantly higher for social media competency (p<0.001). Additionally, food and nutrition management and consultant/private practice/industry RD/Ns had significantly higher competency scores than clinical RD/Ns (p=0.015 and p=0.046, respectively). RD/Ns who use social media personally and professionally had a significantly higher competency score than RD/Ns who did not (p<0.001). There were significant associations of Facebook, Twitter, total followers and total average followers with the social media competency score (r=0.265, 0.404, 0.338, & 0.320, respectively) in RD/Ns. Specifically, the social media competency score, was found to explain 16% of the variation in the number of Twitter followers and 10% of the variation in the average number of followers by platform. These data suggest an opportunity to increase RD/Ns’ social media reach (i.e. following) by improving competency level.Dissertation/ThesisDoctoral Dissertation Physical Activity, Nutrition and Wellness 201

Personality, gender, and age in the language of social media: the open-vocabulary approach

We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-vocabulary technique, the data itself drives a comprehensive exploration of language that distinguishes people, finding connections that are not captured with traditional closed-vocabulary word-category analyses. Our analyses shed new light on psychosocial processes yielding results that are face valid (e.g., subjects living in high elevations talk about the mountains), tie in with other research (e.g., neurotic people disproportionately use the phrase ‘sick of’ and the word ‘depressed’), suggest new hypotheses (e.g., an active life implies emotional stability), and give detailed insights (males use the possessive ‘my’ when mentioning their ‘wife’ or ‘girlfriend’ more often than females use ‘my’ with ‘husband’ or 'boyfriend’). To date, this represents the largest study, by an order of magnitude, of language and personalit

How Does Self-Presentation Concern Relate to Language Use in Online Social Networking?

Millions of people worldwide use online social networking sites (SNSs) such as Facebook and Twitter for interpersonal interaction and self-presentation. Theories of computer-mediated communication suggest that SNSs offer unique affordances and pose complex challenges to self-presentation (particularly in audience management) compared to face-to-face settings. One of the most fundamental ways in which people present themselves to others is through the use of language. The goal of the present work is to better understand language use in online self-presentation by exploring how the degree of concern people have about their self-presentation relates to their word choices in SNS posts (i.e., status updates and tweets). This study addressed three specific research questions. First, do people with greater self-presentation concern (SPC) differ from people with lower SPC in their use of words related to style, affect, and specific topics? Second, how do personality traits (i.e., the Big Five) mediate the relationships between SPC and language? Finally, does reminding people about specific types of audiences in their social networks (i.e., social vs. professional audiences) influence their language use and the amount of time they spend creating a post? To address these questions, I recruited Facebook and Twitter users to complete an online survey where they shared their most recent SNSs posts and wrote a new post under different audience reminder conditions. They also completed measures of SPC and personality. I used Linguistic Inquiry and Word Count (LIWC2007) to measure the language in participants\u27 posts along dimensions of style (i.e., pronouns), affect (i.e., emotion words and swear words), and topic (i.e., achievement, money, religion, and sexuality). The results revealed that SPC was not significantly related to language use along these dimensions. Although SPC was related to certain personality traits, these traits did not mediate the relationships between SPC and language use. Finally, reminding participants about social and professional audiences did not affect their language use or the amount of time they spent creating their posts. These results carry important implications for theoretical frameworks of online self-presentation and provide directions for future research on SPC and language use