Antonia Egli | Dublin City University (original) (raw)

Papers by Antonia Egli

AMA Marketing & Public Policy Conference, 2022

This paper attempts to explain power dynamics between pro-vaccination (i.e., provaxx), anti-vacci... more This paper attempts to explain power dynamics between pro-vaccination (i.e., provaxx), anti-vaccination (i.e., anti-vaxx), and vaccine hesitant individuals, and provides insights into the potential negative impact of stigma on the decision to vaccinate against COVID-19.

Bad Robot: A Preliminary Exploration of the Prevalence of Automated Software Programmes and Social Bots in the COVID-19 #antivaxx Discourse on Twitter, 2021

Health information is regularly sourced from social media platforms. However, health-related mis-... more Health information is regularly sourced from social media platforms. However, health-related mis-and disinformation, particularly regarding vaccinations, has become increasingly prevalent on social networks since the spread of COVID-19. Automated attempts to manipulate or deceive the public by spreading false information on social media have adverse effects within the online vaccination discourse, for example by potentially converting vaccine hesitant individuals into vaccination deniers. 8,949 English-language tweets featuring the #antivaxx (i.e., anti-vaccination) hashtag generated by 7,721 discrete users in December 2020 were collected, a period when COVID-19 vaccines were first released in the United States. These were examined to determine (a) the prevalence of automated software and social bots in the #antivaxx discourse on Twitter during the focal period, (b) the prevalence of social bot use by active and visible users, and (c) the effectiveness of social network platforms to moderate misinformation. While there is evidence of use of automated software and social bots in the #antivaxx discourse during the period, such software is used by less than 1.5% of users and accounts for between 3.6% and 5.5% of the overall discourse. We also find that active users are more likely to be classified as bots than visible users. Furthermore, Twitter would seem to be effective in identifying and suspending highly active accounts associated with distributing potentially harmful information relating to vaccination.

Sustainability, 2021

The building stock accounts for a significant portion of worldwide energy consumption and greenho... more The building stock accounts for a significant portion of worldwide energy consumption and greenhouse gas emissions. While the majority of the existing building stock has poor energy performance, deep renovation efforts are stymied by a wide range of human, technological, organisational and external environment factors across the value chain. A key challenge is integrating appropriate human resources, materials, fabrication, information and automation systems and knowledge management in a proper manner to achieve the required outcomes and meet the relevant regulatory standards, while satisfying a wide range of stakeholders with differing, often conflicting, motivations. RINNO is a Horizon 2020 project that aims to deliver a set of processes that, when working together, provide a system, repository, marketplace and enabling workflow process for managing deep renovation projects from inception to implementation. This paper presents a roadmap for an open renovation platform for managing...

Big Data and Cognitive Computing

Public health interventions to counter the COVID-19 pandemic have accelerated and increased digit... more Public health interventions to counter the COVID-19 pandemic have accelerated and increased digital adoption and use of the Internet for sourcing health information. Unfortunately, there is evidence to suggest that it has also accelerated and increased the spread of false information relating to COVID-19. The consequences of misinformation, disinformation and misinterpretation of health information can interfere with attempts to curb the virus, delay or result in failure to seek or continue legitimate medical treatment and adherence to vaccination, as well as interfere with sound public health policy and attempts to disseminate public health messages. While there is a significant body of literature, datasets and tools to support countermeasures against the spread of false information online in resource-rich languages such as English and Chinese, there are few such resources to support Portuguese, and Brazilian Portuguese specifically. In this study, we explore the use of machine lea...

AMA Marketing & Public Policy Conference, 2022

This paper attempts to explain power dynamics between pro-vaccination (i.e., provaxx), anti-vacci... more This paper attempts to explain power dynamics between pro-vaccination (i.e., provaxx), anti-vaccination (i.e., anti-vaxx), and vaccine hesitant individuals, and provides insights into the potential negative impact of stigma on the decision to vaccinate against COVID-19.

Bad Robot: A Preliminary Exploration of the Prevalence of Automated Software Programmes and Social Bots in the COVID-19 #antivaxx Discourse on Twitter, 2021

Health information is regularly sourced from social media platforms. However, health-related mis-... more Health information is regularly sourced from social media platforms. However, health-related mis-and disinformation, particularly regarding vaccinations, has become increasingly prevalent on social networks since the spread of COVID-19. Automated attempts to manipulate or deceive the public by spreading false information on social media have adverse effects within the online vaccination discourse, for example by potentially converting vaccine hesitant individuals into vaccination deniers. 8,949 English-language tweets featuring the #antivaxx (i.e., anti-vaccination) hashtag generated by 7,721 discrete users in December 2020 were collected, a period when COVID-19 vaccines were first released in the United States. These were examined to determine (a) the prevalence of automated software and social bots in the #antivaxx discourse on Twitter during the focal period, (b) the prevalence of social bot use by active and visible users, and (c) the effectiveness of social network platforms to moderate misinformation. While there is evidence of use of automated software and social bots in the #antivaxx discourse during the period, such software is used by less than 1.5% of users and accounts for between 3.6% and 5.5% of the overall discourse. We also find that active users are more likely to be classified as bots than visible users. Furthermore, Twitter would seem to be effective in identifying and suspending highly active accounts associated with distributing potentially harmful information relating to vaccination.

Sustainability, 2021

The building stock accounts for a significant portion of worldwide energy consumption and greenho... more The building stock accounts for a significant portion of worldwide energy consumption and greenhouse gas emissions. While the majority of the existing building stock has poor energy performance, deep renovation efforts are stymied by a wide range of human, technological, organisational and external environment factors across the value chain. A key challenge is integrating appropriate human resources, materials, fabrication, information and automation systems and knowledge management in a proper manner to achieve the required outcomes and meet the relevant regulatory standards, while satisfying a wide range of stakeholders with differing, often conflicting, motivations. RINNO is a Horizon 2020 project that aims to deliver a set of processes that, when working together, provide a system, repository, marketplace and enabling workflow process for managing deep renovation projects from inception to implementation. This paper presents a roadmap for an open renovation platform for managing...

Big Data and Cognitive Computing

Public health interventions to counter the COVID-19 pandemic have accelerated and increased digit... more Public health interventions to counter the COVID-19 pandemic have accelerated and increased digital adoption and use of the Internet for sourcing health information. Unfortunately, there is evidence to suggest that it has also accelerated and increased the spread of false information relating to COVID-19. The consequences of misinformation, disinformation and misinterpretation of health information can interfere with attempts to curb the virus, delay or result in failure to seek or continue legitimate medical treatment and adherence to vaccination, as well as interfere with sound public health policy and attempts to disseminate public health messages. While there is a significant body of literature, datasets and tools to support countermeasures against the spread of false information online in resource-rich languages such as English and Chinese, there are few such resources to support Portuguese, and Brazilian Portuguese specifically. In this study, we explore the use of machine lea...