From Internet Memes to Emoticon Engineering: Insights from the Baozou Comic Phenomenon in China

Ma, Xiaojuan

doi:10.1007/978-3-319-39513-5_2

Cited by 12 publications

(15 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The findings from the gender-and age-related analyses presented in the previous sections are summarized in Table 5. Significant results are indicated with asterisks, 24 and trends are indicated with the symbol † . Functions for which no associations were significant or trending (i.e., mention, physical, other) are not included in the table.…”

Section: Summary Of Gender-and Age-related Resultsmentioning

confidence: 99%

“…Similarly, in a recent survey study of Portuguese social media users [30], women reported using emoji more than men, and women said that they found emoji more useful, interesting, fun, and easy to use; this latter result was especially pronounced for younger women. Emoji are perceived in Asian culture as cute and feminine [24,32]. [32] reports that among Japanese teens, emoji are considered key to girls' online performance of kawaii ("cute") identities and are felt to be inappropriate for males to use.…”

Section: :3mentioning

confidence: 99%

“…The combined_misc category for Shock for this analysis consisted of action, reaction, softening, decorative, multiple, other, physical, and "I don't know. "24 See note 14 for an explanation of how confidence intervals were calculated. ACM Transactions on Social Computing, Vol.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Gender and Age Influences on Interpretation of Emoji Functions

Herring

Dainas

2020

Trans. Soc. Comput.

View full text Add to dashboard Cite

An online survey, the Understanding Emoji Survey, was conducted to assess how English-speaking social media users interpret the pragmatic functions of emoji in examples adapted from public Facebook comments, based on a modified version of [15]'s taxonomy of functions. Of the responses received (N = 519; 351 females, 120 males, 48 "other"; 354 under 30, 165 over 30, age range 18-70+), tone modification was the preferred interpretation overall, followed by virtual action, although interpretations varied significantly by emoji type. Female and male interpretations were generally similar, while "other" gender respondents differed significantly in dispreferring tone and preferring multiple functions. Respondents over 30 often did not understand the functions or interpreted the emoji literally, while younger users interpreted them in more conventionalized ways. Older males were most likely, and younger females were least likely, to not understand emoji functions and to find emoji confusing or annoying, consistent with previously reported gender and age differences in attitudes toward, and frequency of, emoji use.

show abstract

Section: Summary Of Gender-and Age-related Resultsmentioning

confidence: 99%

Section: :3mentioning

confidence: 99%

See 1 more Smart Citation

Gender and Age Influences on Interpretation of Emoji Functions

Herring

Dainas

2020

Trans. Soc. Comput.

View full text Add to dashboard Cite

show abstract

“…The creation of internet memes can be complicated at first, but if the images are expressive and evocative, users can go from pure consumers to producers, as in Baozou emoticons [18]. In this investigation, students improved that skill as weeks passed.…”

Section: Discussionmentioning

confidence: 79%

Internet-memes como controles de lectura en la materia de diseño geométrico de carreteras

García-Ramírez

2022

Rev. Fac. Ing.

View full text Add to dashboard Cite

En la actualidad, el desarrollo y acceso tecnológico está llevando a cambiar diversos hábitos en población, como, por ejemplo, la forma en cómo se consume la información. Es así, que el uso de videos cortos e imágenes se usan los periódicos, redes sociales hasta alcanzar a la educación universitaria. Esta imagen o internet-meme ha sido usado en varias áreas del conocimiento para mejorar el aprendizaje de sus estudiantes, pero no en el diseño de carreteras, cuyo contenido se suele mantener las clases de forma tradicional. Por lo tanto, este estudio tiene por objetivo presentar una actividad académica que utiliza internet-memes para analizar un tema semanal antes de las clases virtuales síncrona. Para ello, participaron cuatro grupos de estudiantes de la materia de diseño geométrico de carreteras. Ellos debían revisar el contenido antes de la clase y elaborar un internet-meme, que era revisado por pares. Como resultado, los internet-memes pueden ser utilizados para controlar que el estudiante revise el material académico (videos, artículos, etc.), antes de asistir a la clave virtual, incluso se podría utilizar antes de una clase presencial. Los estudiantes estuvieron de acuerdo con el uso de los internet-memes, y en menor proporción con la revisión por pares. A pesar de esta última tendencia, la elaboración en combinación con la revisión por pares aumenta la posibilidad de que estudiante comprenda verdaderamente el tema. Por otro lado, los grupos dieron una valoración promedio del curso de al menos 8,86/10. Los estudiantes fueron conscientes del autoaprendizaje, quienes dieron una calificación promedio de al menos 7,74/10. Este artículo describe la experiencia de los estudiantes con el uso de los internet-memes, evaluando sus pros y contras de su uso.

show abstract

“…This suggests that although the researcher can do their best to identify broad signals (features) of an emotion after selection of a social context, sub groups within the context such as a specific social network might evolve unique expressions over time. One extreme case is the rapid evolution of context-specific memes often used as tools to expression specific emotions on Twitter (for an interesting case study, see Ma, 2016). Researchers should take care to name the boundary conditions of their effects based on specific social media context in which the emotion expressions were classified (Van Bavel, Mende-Siedlecki, Brady, & Reinero, 2016).…”

Section: Psychological Hypothesis Testing With Emotion Classifiersmentioning

confidence: 99%

Theory-driven Measurement of Emotion (Expressions) in Social Media Text

Brady¹,

McLoughlin²,

Crockett³

2021

Preprint

View full text Add to dashboard Cite

Sentiment analysis, or the measurement of opinions, attitudes and emotions in text, has exploded in the past 10 years. The number of academic articles published that mention “sentiment analysis” grew from 78 in 2008 to 1,876 in 2018 (Web of Science). This growth brought notable advances in sentiment classification whether it be measuring emotional valence (i.e., negative vs. positive sentiment) or the measurement of discrete, specific emotions (e.g., “anger”). In particular, there has been recent interest in measuring emotion expressions in social media text, as there are now over 3 billion users expressing emotions online on a regular basis. Although there is now a wealth of emotion expression data that exists on social media, only recently have psychological scientists begun to make use of it for the purposes of observational research and psychological hypothesis testing. In this chapter, we aim to provide psychologists with a practical guide for making use of advances in sentiment analysis for the purpose of measuring specific emotions in social media text, and ultimately testing hypotheses. We begin with an examination of the type of emotion-related information researchers can expect to measure in social media text. Next, we present a practical guide for the theory-driven application of supervised machine learning to measure specific emotion expressions on social media using the measurement of moral outrage expression as a case study. We end with considerations for researchers who wish to apply sentiment analysis of social media text for the purposes of psychological hypothesis testing.

show abstract

From Internet Memes to Emoticon Engineering: Insights from the Baozou Comic Phenomenon in China

Cited by 12 publications

References 12 publications

Gender and Age Influences on Interpretation of Emoji Functions

Gender and Age Influences on Interpretation of Emoji Functions

Internet-memes como controles de lectura en la materia de diseño geométrico de carreteras

Theory-driven Measurement of Emotion (Expressions) in Social Media Text

Contact Info

Product

Resources

About