The Effectiveness of Social Media Engagement Strategy on Disaster Fundraising

• URL: http://arxiv.org/abs/2210.11322v1
• Date: Wed, 19 Oct 2022 10:57:33 GMT
• Title: The Effectiveness of Social Media Engagement Strategy on Disaster Fundraising
• Authors: Vivek Velivela, Chahat Raj, Muhammad Salman Tiwana, Raj Prasanna, Mahendra Samarawickrama, Mukesh Prasad
• Abstract summary: Social media platforms help nonprofits in effective disaster management by disseminating crucial information to various communities at the earliest. The current literature lacks the theoretical structure investigating the correlation between social media engagement and crisis management. Large nonprofit organisations like the Australian Red Cross have upscaled their operations to help nearly 6,000 bushfire survivors through various grants and helped 21,563 people with psychological support.
• Score: 3.148052072828531
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Social media has been a powerful tool and an integral part of communication, especially during natural disasters. Social media platforms help nonprofits in effective disaster management by disseminating crucial information to various communities at the earliest. Besides spreading information to every corner of the world, various platforms incorporate many features that give access to host online fundraising events, process online donations, etc. The current literature lacks the theoretical structure investigating the correlation between social media engagement and crisis management. Large nonprofit organisations like the Australian Red Cross have upscaled their operations to help nearly 6,000 bushfire survivors through various grants and helped 21,563 people with psychological support and other assistance through their recovery program (Australian Red Cross, 2021). This paper considers the case of bushfires in Australia 2019-2020 to inspect the role of social media in escalating fundraising via analysing the donation data of the Australian Red Cross from October 2019 - March 2020 and analysing the level of public interaction with their Facebook page and its content in the same period.

Related papers

• Leveraging Social Media Data and Artificial Intelligence for Improving Earthquake Response Efforts [0.0]
  In the digital age, real-time information sharing has reached unprecedented levels. This study includes an experimental analysis of 8,900 social media interactions, including 2,920 posts and 5,980 replies on X (formerly Twitter) The results demonstrate that social media platforms can be effectively used as real-time situational awareness tools.
  arXiv  Detail & Related papers  (2024-12-28T11:08:06Z)
• Community Shaping in the Digital Age: A Temporal Fusion Framework for Analyzing Discourse Fragmentation in Online Social Networks [45.58331196717468]
  This research presents a framework for analyzing the dynamics of online communities in social media platforms. By combining text classification and dynamic social network analysis, we uncover mechanisms driving community formation and evolution.
  arXiv  Detail & Related papers  (2024-09-18T03:03:02Z)
• CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics [49.2719253711215]
  This study introduces a novel approach to disaster text classification by enhancing a pre-trained Large Language Model (LLM) Our methodology involves creating a comprehensive instruction dataset from disaster-related tweets, which is then used to fine-tune an open-source LLM. This fine-tuned model can classify multiple aspects of disaster-related information simultaneously, such as the type of event, informativeness, and involvement of human aid.
  arXiv  Detail & Related papers  (2024-06-16T23:01:10Z)
• Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic [59.930429668324294]
  We analyse the sudden change in religious activities twofold: we create and deliver a questionnaire, as well as analyse Twitter data. Importantly, we also analyse the temporal variations in this process by analysing a period of 3 months: July-September 2020.
  arXiv  Detail & Related papers  (2022-12-11T18:41:02Z)
• Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019--2020 Australian Bushfires Case Study [15.075309123198045]
  This work introduces and applies a quantitative investigative framework to understand how social media influence the behaviour of donors. We explore how on-line engagement corresponds to the donors' behaviour during the catastrophic 2019--2020 Australian bushfire season. Our exploratory study reveals that social media campaigns are effective in encouraging on-line donations made via a dedicated website.
  arXiv  Detail & Related papers  (2022-10-14T08:17:11Z)
• Adherence to Misinformation on Social Media Through Socio-Cognitive and Group-Based Processes [79.79659145328856]
  We argue that when misinformation proliferates, this happens because the social media environment enables adherence to misinformation. We make the case that polarization and misinformation adherence are closely tied.
  arXiv  Detail & Related papers  (2022-06-30T12:34:24Z)
• Designing a Social Media Analytics Dashboard for Government Agency Crisis Communications [0.0]
  Government agencies are increasingly turning to social media to use it as a mouthpiece in times of crisis. Government agencies need tools that support them in analysing social media data for the public good. This paper presents a design science research approach that guides the development of a social media analytics dashboard for a regional government agency.
  arXiv  Detail & Related papers  (2022-02-11T10:41:01Z)
• The Role of Communication Technology Across the Life Course: A Field Guide to Social Support in East York [1.5469452301122175]
  We draw on 101 in-depth interviews conducted in 2013-2014 to shed light on the support networks of a sample of East York residents. Our findings show that not much has changed since the 1960s in terms of the social ties that our sample of East Yorkers have, and the types of support mobilized via social networks.
  arXiv  Detail & Related papers  (2021-09-28T17:55:44Z)
• How COVID-19 Have Changed Crowdfunding: Evidence From GoFundMe [77.34726150561087]
  This study uses a unique data set of all the campaigns published over the past two years on GoFundMe. We study a corpus of crowdfunded projects, analyzing cover images and other variables commonly present on crowdfunding sites.
  arXiv  Detail & Related papers  (2021-06-18T08:03:58Z)
• Narratives and Needs: Analyzing Experiences of Cyclone Amphan Using Twitter Discourse [0.0]
  Social media is receiving increasing attention as a rich data source for understanding people's social, political and economic experiences of extreme weather events. In this paper, we contribute two novel methodologies that leverage Twitter discourse to characterize narratives and identify unmet needs in response to Cyclone Amphan.
  arXiv  Detail & Related papers  (2020-09-11T17:49:05Z)
• Clustering of Social Media Messages for Humanitarian Aid Response during Crisis [47.187609203210705]
  We show that recent advances in Deep Learning and Natural Language Processing outperform prior approaches for the task of classifying informativeness. We extend these methods to two sub-tasks of informativeness and find that the Deep Learning methods are effective here as well.
  arXiv  Detail & Related papers  (2020-07-23T02:18:05Z)
• The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic [66.80677233314002]
  Pandemic of the novel Coronavirus Disease 2019 (COVID-19) has presented governments with ultimate challenges. In the United States, the country with the highest confirmed COVID-19 infection cases, a nationwide social distancing protocol has been implemented by the President. This paper aims to discover the social implications of this unprecedented disruption in our interactive society by mining people's opinions on social media.
  arXiv  Detail & Related papers  (2020-04-21T13:02:38Z)
• Echo Chambers on Social Media: A comparative analysis [64.2256216637683]
  We introduce an operational definition of echo chambers and perform a massive comparative analysis on 1B pieces of contents produced by 1M users on four social media platforms. We infer the leaning of users about controversial topics and reconstruct their interaction networks by analyzing different features. We find support for the hypothesis that platforms implementing news feed algorithms like Facebook may elicit the emergence of echo-chambers.
  arXiv  Detail & Related papers  (2020-04-20T20:00:27Z)
• Sense-Giving Strategies of Media Organisations in Social Media Disaster Communication: Findings from Hurricane Harvey [0.0]
  This study investigates the communication strategies of media organisations in extreme events. A Twitter dataset consisting of 9,414,463 postings was collected during Hurricane Harvey in 2017. Social network and content analysis methods were applied to identify media communication approaches.
  arXiv  Detail & Related papers  (2020-04-18T09:37:17Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.