A Pragmatic Study of Female and Male Discourse Use on Facebook

La comunicación virtual es un campo de estudio muy interesante e innovador que analiza las distintas estrategias comunicativas empleadas en este tipo de discurso que difieren de las empleadas en la comunicación verbal. Este trabajo empieza revisando investigaciones precedentes en este tema para posteriormente analizar, desde un punto de vista pragmático, las diferencias del uso del discurso femenino y masculino en Facebook, sin caer en una perspectiva sexista. El problema principal en este estudio ha sido intentar establecer dicha comparación. Para poder acometer este estudio, recurrimos primero al análisis descriptivo de un corpus creado con discursos reales sacados de la propia red social, para elaborar un cuestionario Likert de 5 puntos, y poder realizar así un estudio experimental que nos permitiera probar si los marcadores textuales utilizados por hombres y mujeres difieren en sus respectivos discursos. Los resultados revelaron una diferencia estadísticamente significativa entre ambos tipos de discursos al comunicarse en Facebook. Sin embargo, también obtuvimos algunos resultados inesperados en relación al uso de los marcadores discursivos utilizados por el grupo de mujeres jóvenes que eran muy parecidos a los utilizados por los hombres en ambas condiciones, tanto en los jóvenes como en los adultos. Por esta razón, la conclusión es que existen rasgos distintivos en los usos discursivos femeninos y masculinos, aunque en el caso de las mujeres jóvenes su discurso parece estar cambiando, puesto que se asemeja cada vez más al discurso masculino. No obstante, sería necesario llevar a cabo una investigación sobre el cambio discursivo de las mujeres jóvenes para tratar de establecer sus causas.Virtual communication is an interesting and innovative field study which analyses the communicative strategies used in this type of discourse, different from the ones used in face-to-face communication. This work first reviews some previous research on the topic to then analyse from a pragmatic perspective the differences between female and male discoursre uses on Facebook, without succumbing to a sexist perspective. To carry out this analysis, we resorted to a corpus made with real conversations from Facebook to elaborate a 5-pint Likert scale, and so conduct an experimental survey to test whether women and men actually use different discourse markers in their respective discourses. The results revealed that there was a statistically significant distinction in the female and male discourse use when communicating on Facebook. However, some unexpected results were also obtained regarding the discourse markers used by women in the female young adult group condition, which were very similar to those used by men in both the young adult and adult condition. Hence, the conclusion is that there are distinctive features of both female and male discourse use that allow us to identify the two different gender identities, though young women’s discourse use seems to be changing and increasingly resembling to the male discourse. Further research is needed to shed some more light on the change of discourse use found in young women to try to determine its causes.31 páginas y anex

Adolescents’ perceptions of digital media’s potential to elicit jealousy, conflict and monitoring behaviors within romantic relationships

Understanding the role of digital media in adolescents’ romantic relationships is essential to the prevention of digital dating violence. This study focuses on adolescents’ perceptions of the impact of digital media on jealousy, conflict, and control within their romantic relationships. Twelve focus group interviews were conducted, among 55 secondary school students (ngirls = 28; 51% girls) between the ages of 15 and 18 years (Mage = 16.60 years; SD age = 1.21), in the Dutch-speaking community of Belgium. The respondents identified several sources of jealousy within their romantic relationships, such as online pictures of the romantic partner with others and online messaging with others. Adolescents identified several ways in which romantic partners would react when experiencing feelings of jealousy, such as contacting the person they saw as a threat or looking up the other person’s social media profiles. Along with feelings of jealousy, respondents described several monitoring behaviors, such as reading each other’s e-mails or accessing each other’s social media accounts. Adolescents also articulated several ways that they curated their social media to avoid conflict and jealousy within their romantic relationships. For instance, they adapted their social media behavior by avoiding the posting of certain pictures, or by ceasing to comment on certain content of others. The discussion section includes suggestions for future research and implications for practice, such as the need to incorporate information about e-safety into sexual and relational education and the need to have discussions with adolescents, about healthy boundaries for communication within their friendships and romantic relationships.</jats:p

Comparing and Combining Sentiment Analysis Methods

Several messages express opinions about events, products, and services, political views or even their author's emotional state and mood. Sentiment analysis has been used in several applications including analysis of the repercussions of events in social networks, analysis of opinions about products and services, and simply to better understand aspects of social communication in Online Social Networks (OSNs). There are multiple methods for measuring sentiments, including lexical-based approaches and supervised machine learning methods. Despite the wide use and popularity of some methods, it is unclear which method is better for identifying the polarity (i.e., positive or negative) of a message as the current literature does not provide a method of comparison among existing methods. Such a comparison is crucial for understanding the potential limitations, advantages, and disadvantages of popular methods in analyzing the content of OSNs messages. Our study aims at filling this gap by presenting comparisons of eight popular sentiment analysis methods in terms of coverage (i.e., the fraction of messages whose sentiment is identified) and agreement (i.e., the fraction of identified sentiments that are in tune with ground truth). We develop a new method that combines existing approaches, providing the best coverage results and competitive agreement. We also present a free Web service called iFeel, which provides an open API for accessing and comparing results across different sentiment methods for a given text.Comment: Proceedings of the first ACM conference on Online social networks (2013) 27-3

Immaterial rewards and sanctions in a voluntary contribution experiment

In this paper, we compare the cause and effect of immaterial rewards and sanctions oncooperation in a voluntary contributions experiment. We find that both rewards andsanctions increase contributions only when subjects interact repeatedly, though rewardsseem to be more effective than sanctions. Moreover, in contrast to sanctions, rewards dohave an impact on future contributions. Although the direct effect is negative, there is apositive indirect effect that applies to subjects who contribute above (below) the groupaverage in a partner (stranger) matching. From this we conclude that sanctions andrewards are mainly used as a communication channel to coordinate on a more efficientoutcome. Nevertheless, subjects also seem to experience additional utility from receivingapproval, whereas they are insensitive to disapprovals.public economics ;

Emotions and Digital Well-being. The rationalistic bias of social media design in online deliberations

In this chapter we argue that emotions are mediated in an incomplete way in online social media because of the heavy reliance on textual messages which fosters a rationalistic bias and an inclination towards less nuanced emotional expressions. This incompleteness can happen either by obscuring emotions, showing less than the original intensity, misinterpreting emotions, or eliciting emotions without feedback and context. Online interactions and deliberations tend to contribute rather than overcome stalemates and informational bubbles, partially due to prevalence of anti-social emotions. It is tempting to see emotions as being the cause of the problem of online verbal aggression and bullying. However, we argue that social media are actually designed in a predominantly rationalistic way, because of the reliance on text-based communication, thereby filtering out social emotions and leaving space for easily expressed antisocial emotions. Based on research on emotions that sees these as key ingredients to moral interaction and deliberation, as well as on research on text-based versus non-verbal communication, we propose a richer understanding of emotions, requiring different designs of online deliberation platforms. We propose that such designs should move from text-centred designs and should find ways to incorporate the complete expression of the full range of human emotions so that these can play a constructive role in online deliberations

Attitudes and emotions through written text: The case of textual deformation in Internet chat rooms

Spanish Internet chat rooms are visited by a lot of young people who use language in a very creative way (e.g. repetition of letters and punctuation marks). In this paper, several hypotheses concerning the uses of textual deformation assess their communicative usefulness. The goal of these hypotheses is to check whether these deformations favour a more accurate identification and evaluation of the senders’ underlying attitudes (propositional or affective) and emotions. The answers to a questionnaire indicate that despite the supplementary level of information that textual deformation provides, readers tend not to agree on the exact quality of the sender’s underlying attitudes and emotions, nor do they tend to establish degrees of intensity related to the quantity of text typed. However, and despite this evidence, textual deformation seems to play a part in the eventual quality of chat users’ interpretations of the messages sent to chat rooms.Los chats españoles de Internet son visitados por muchos jóvenes que usan el lenguaje de una forma muy creativa (ej. repetición de letras y signos de puntuación). En este artículo se evalúan varias hipótesis sobre el uso de la deformación textual respecto a su eficacia comunicativa. Se trata de comprobar si estas deformaciones favorecen una identificación y evaluación más adecuada de las actitudes (proposicionales o afectivas) y emociones de sus autores. Las respuestas a un cuestionario revelan que a pesar de la información adicional que la deformación textual aporta, los lectores no suelen coincidir en la cualidad exacta de estas actitudes y emociones, ni establecen grados de intensidad relacionados con la cantidad de texto tecleada. Sin embargo, y a pesar de estos resultados, la deformación textual parece jugar un papel en la interpretación que finalmente se elige de estos mensajes enviados a los chats.The research for this paper has been supported by IULMA (Instituto Interuniversitario de Lenguas Modernas Aplicadas)