Understanding social media beyond text: a reliable practice on Twitter

Hou, Qixuan; Han, Meng; Qu, Feiyang; He, Jing

doi:10.1186/s40649-021-00088-x

Cited by 13 publications

(5 citation statements)

References 29 publications

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“…Without sensemaking SM management and considering the SM landscape, organisations miss the SM affordances, and sustainability remains a challenge. Social Media facilitates KT and provides high-volume, real-time data, which has been widely used in diverse applications such as sales, marketing, disaster management and health surveillance (Hou et al 2021). Social Media implementation in the KT process has been demonstrated to be complex and challenging for organisations (Muninger et al 2022;Nijssen & Ordanini 2020).…”

Section: Problemmentioning

confidence: 99%

Sensemaking of social media management: Seizing affordances in a dynamic complex environment

Nyambandi,

de la Harpe

2024

S. Afr. j. inf. manag.

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Background: Social Media (SM) growth and its acceptance at various economic levels are making it obligatory to make sense of its management in different business environments. A business environment can be volatile, uncertain, ambiguous, static-complex, simple-dynamic with a few similar, continuously changing factors, or simple-static with a few similar, unchanging factors. The environment is exemplified by the coronavirus disease 2019 (COVID-19) pandemic, regional war, globalisation, the fourth industrial revolution and disruptive technology. Regulatory focus theory was used to examine whether managers adopt a prevention or promotion focus to SM use, shed light on employees’ attitudes and whether regulatory focus affected the measures taken toward SM management.Objectives: The purpose of this paper was to explore how designed SM platforms can be managed in the face of dynamic and complex environments.Method: Experts’ interviews from various organisations were selected using snowball sampling to gather qualitatively rich data. The data were analysed thematically using ATLAS.ti software.Results: Prevention through reengineering processes, increased use of algorithms, information technology (IT) investments and restricting SM to private use only were observed among experts. Additionally, promotion-focus managers allow employees to use SM for work-related tasks and use monitoring software.Conclusion: Information technology investments, sizing SM affordances and sensemaking SM management is becoming mandatory given the dynamic nature or pace at which the environment is changing.Contribution: The study contributed practical, social mediations, generated and qualitative method choice in the collection, analysis and interpretation of data.

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Section: Problemmentioning

confidence: 99%

Sensemaking of social media management: Seizing affordances in a dynamic complex environment

Nyambandi,

de la Harpe

2024

S. Afr. j. inf. manag.

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“…Our proposed pipeline also includes a text classification to remove noises from our dataset. [8] Social media has become an important and effective tool for researchers for direct dissemination of their research findings to a larger audience. AAPS Open recognized this trend and strategically decided to offer an ideal platform to the researchers to raise their profile via AAPS Open's social media support.…”

Section: Literature Surveymentioning

confidence: 99%

Survey On Collaborative Learning Platform NexLink

Chaudhari

2023

IJSREM

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The man in pre-historic times, that is, about 50,000 years ago, was in the cave, recording his social interactive urges in various kinds of drawings and paintings on the walls, thinking that his fellow human beings in his times or posterity would happen on them and try to decode them. That was probably the first seed sown of social media to catch on down the line. The man in the ancient cave is now the man on the web for all especially education. Media students who were selected for the study have recorded their responses towards concurrent social media learning dimensions: Interactivity, Informativeness, Effectiveness, and Stress. These factors help in assessing media students’ perception regarding social media learning.[1] In the ever-evolving landscape of social media, NexLink emerges as a groundbreaking platform that draws inspiration from the most influential giants in the industry—Twitter, LinkedIn. Branded as NexLink, this innovative social network is designed to seamlessly integrate the core functionalities of these renowned platforms, ushering in a new era of online interaction. NexLink inherits the real-time conversational prowess of Twitter, allowing users to engage in dynamic and instant exchanges. Simultaneously, it harnesses the professional networking capabilities synonymous with LinkedIn, empowering individuals to cultivate meaningful connections and advance their careers within their chosen domains. As a result, NexLink is poised to redefine the social media landscape, offering users an all-encompassing digital ecosystem. This platform transcends conventional boundaries, providing a versatile space for networking, knowledge-sharing, real-time engagement, and interactive exploration. With NexLink, the future of social networking takes on a multifaceted and immersive form, promising a dynamic and enriching experience for users across the globe. Keywords: Concurrent social media, Social Media Learning, Collaborative Media Education, NexLink, Twitter, LinkedIn, map functionality, real-time conversations, professional networking, social connectivity, digital ecosystem, online interaction.

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“…Machine learning no longer objectively evaluates the massive data but portrays the assessment from personal perspectives. Regarding social media, Twitter's high-volume and real-time textual and imagery data have already been extensively studied for event detection and sentiment analysis (Hou et al, 2021). In urban study and architecture, Alvarez-Marin and Ochoa (2020) used thousands of geotagged satellite and perspective images from various urban cultures to identify and predict personal preferences in urban spaces via machine learning.…”

Section: Related Workmentioning

confidence: 99%

Communication With Detroit: Machine Learning in Open Source Community Housing Design

Jiang,

Cai

2023

CAADRIA Proceedings

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Traditional pre-design investigation includes conceptual studies, site analysis, and programming processes to analyze the site and design for users. Instead, designers and architects should consider users' ideas and their actual usage of space, which are recorded and reflected on the social media platform. To introduce more citizens' voices in the design and learn more about people's expression of Detroit city and its housing, we propose to involve the machine learning analysis in the earlier stage of the housing project using users' reflections from social media to support the conceptual design. This paper introduces a novel design framework that deals with the lacking public programs in Detroit using an online data clustering platform and demonstrates a conceptual open-source community housing design according to related findings. This framework incorporates data collection from the Twitter platform, implementation of clustering for user-oriented programs, and design applications based on the findings. Our research demonstrates an efficient and flexible approach to the open-source community housing project.

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Understanding social media beyond text: a reliable practice on Twitter

Cited by 13 publications

References 29 publications

Sensemaking of social media management: Seizing affordances in a dynamic complex environment

Sensemaking of social media management: Seizing affordances in a dynamic complex environment

Survey On Collaborative Learning Platform NexLink

Communication With Detroit: Machine Learning in Open Source Community Housing Design

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