Gender Differences in Instagram Hashtag Use

Ye, Zhang; Hashim, Noor Hazarina; Baghirov, Fakhri; Murphy, Jamie

doi:10.1080/19368623.2018.1382415

Cited by 64 publications

(37 citation statements)

References 33 publications

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“…It supports the finding that man and woman tend to use different strategies of positive politeness in a talk show (Safitri, 2015). It is also in line with another finding that female users in Instagram tend to use more emotional and positive hashtag description compared to male users (Ye, Hashim, Baghirov, & Murphy, 2018). In this case, it displays a dissimilar fact compared to negative politeness.…”

Section: Discussionsupporting

confidence: 90%

Gender and politeness on Instagram

Sholikhatin

Indah

2019

lingtera

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This study is to identify the positive politeness of responses from male and female in responding to Bill Gates' caption on Instagram. It used a descriptive qualitative approach to explain the kind of positive politeness strategy applied. The data were in the form of positive utterances written by males and females in column comments in Bill Gates Instagram account analysed using Brown and Levinson’s theory of politeness. The data were collected on February, 2019, involving positive comments on Instagram. The results showed not all of the fifteen strategies of positive politeness appear. The strategy of noticing or attending to one’s interests and needs ranked the highest for the category of the most often appearing strategy used by males and females. The male’s comments tend to employ the strategy of joking about putting the hearer at ease and strategy of offering, promising. Whereas, the dominant positive politeness strategy used by females are noticing, attending to the hearer’s interests, wants, needs, or goods.

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Section: Discussionsupporting

confidence: 90%

Gender and politeness on Instagram

Sholikhatin

Indah

2019

lingtera

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“…Futuros estudios se deben plantear para analizar el tipo de contenido que emite cada una de las marcas de los destinos turísticos en Ecuador, para saber si predominan las publicaciones de vídeo o de fotografías y la respuesta a las mismas, pero sobre todo para tener claro el tipo de publicaciones con las que se alcanza mayor reacción entre los seguidores, para mejorar el engagement de las marcas; y, si existe una verdadera representación gráfica de identidad en las publicaciones, representación que además haga visibles aspectos que a veces no han sido considerados importantes (Cassinger y Thelander, 2018). Lógicamente, también resulta necesario tener clara la procedencia y características en términos de edad y género de los seguidores de los diferentes DT, información que ayuda a planificar de mejor manera los contenidos a publicar, ya que se ha encontrado diferencias en cuanto al comportamiento y uso de las redes, por ejemplo, se ha demostrado que las mujeres tienden a utilizar mayor cantidad de hashtags con descripciones positivas y emotivas que los hombres (Ye et al, 2017). Se recomienda también utilizar otras herramientas para el análisis de contenidos de las respuestas de los seguidores de las distintas páginas y en las distintas redes sociales, como por ejemplo Atlas o Nvivo; además, tal y como está planteado, este estudio puede replicarse de tal forma que se obtenga resultados no solamente de las páginas turísticas de gobiernos locales, sino de los distintos países de la región.…”

Section: Mientrasunclassified

Instagram: la red social con la mayor interacción para promover los destinos turísticos ecuatorianos

Campoverde

Ugalde

2020

invest. tur

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La importancia y los ingresos que genera la industria del turismo, la trascendencia de que las ciudades se comercialicen como destinos turísticos a través de una buena planificación de su comunicación de marca, aprovechando las nuevas tecnologías de la comunicación, con mensajes que transmitan identidad de las localidades, transfiriendo valor y emoción hacia los miles de seguidores que las marcas tienen en el impactante mundo de las redes sociales, ha motivado que se realice este estudio con el objetivo de valorar la reacción que obtienen de la comunicación de marca difundida a través de las redes sociales Facebook, Twitter e Instagram, cinco municipios ecuatorianos que trabajan como destinos turísticos. Para medir los resulta-dos nos basamos en el modelo PRGS, (Presencia, Respuesta, Generación y Sugerencia) y en el engagement, a través de las herramientas Fanpage Karma y Twitomony. Entre los resulta-dos obtenidos figura que Instagram se presenta como la red social idónea para obtener más respuestas y por ende mayor engagement en sus seguidores; y, que las marcas con más segui-dores deben mejorar su comunicación para tener un mayor volumen de reacciones.

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“…Although this study focuses on exploring gender bias, it is worth noting that gender studies related to LBSM are not limited to imbalanced gender representation or data-quality issues. Several studies also analysed other gender-specific behaviours on social media and the implications for online communications, such as how gender differences relate to different language styles and vocabularies (Schwartz et al 2013;Ye et al 2018). For example, Ye et al (2018) concluded that females are more likely to use emotional and positive hashtags while posting photos on Instagram.…”

Section: Data-quality Issues In Lbsmmentioning

confidence: 99%

“…Several studies also analysed other gender-specific behaviours on social media and the implications for online communications, such as how gender differences relate to different language styles and vocabularies (Schwartz et al 2013;Ye et al 2018). For example, Ye et al (2018) concluded that females are more likely to use emotional and positive hashtags while posting photos on Instagram. These gender-specific language styles also provide quantified evidence to predict gender information for users with incomplete profiles (Burger et al 2011;Argamon et al 2003;Longley and Adnan 2016;Mislove et al 2012).…”

Section: Data-quality Issues In Lbsmmentioning

confidence: 99%

Evaluating gender representativeness of location-based social media: a case study of Weibo

Yuan

Wei

2018

Annals of GIS

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Researchers have utilized location-based social media (LBSM) as potential resources to characterize daily mobility patterns and social perceptions of place. Similar to other types of big data, LBSM data also have differential data-quality issues such as accuracy, precision, temporal resolution, and sampling biases across various population groups. However, these issues have not been investigated sufficiently for LBSM users. This research aims to quantitatively examine the sampling biases of a Chinese microblogging site, Weibo, which is functionally similar to Twitter. The analysis focuses on investigating the bias in gender groups, and how this bias varies/autocorrelates in different provinces of China. The results indicate that in general, women are more likely to use Weibo in China. We also detected a strong regional pattern for Weibo gender ratios. The results provide valuable input in quantifying demographic biases in Weibo, and the methodology can be applied to other LBSM to analyse sample biases. This study also offers a data preprocessing strategy to identify potential research questions in sociology, regional science, and gender studies.

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Gender Differences in Instagram Hashtag Use

Cited by 64 publications

References 33 publications

Gender and politeness on Instagram

Gender and politeness on Instagram

Instagram: la red social con la mayor interacción para promover los destinos turísticos ecuatorianos

Evaluating gender representativeness of location-based social media: a case study of Weibo

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