Large-scale, Language-agnostic Discourse Classification of Tweets During COVID-19

Quantifying the characteristics of public attention is an essential prerequisite for appropriate crisis management during severe events such as pandemics. For this purpose, we propose language-agnostic tweet representations to perform large-scale Twitter discourse classification with machine learning. Our analysis on more than 26 million COVID-19 tweets shows that large-scale surveillance of public discourse is feasible with computationally lightweight classifiers by out-of-the-box utilization of these representations.Comment: 14 pages, 4 figure

Socio-political challenges of marginal religious groups: the Sabbatean movement as a case study

Minority religious communities, like the Sabbateans, have often been labelled and marginalised by mainstream religions. At times, their leaders have been labelled as ‘false messiahs’ by society or the state. To what extent do states play a role in facilitating the integration of diverse groupings? This question is particularly topical in the 21st century context of cross-border migrations, but also a perennial question facing society, as minority religious movements developed throughout history. The study focuses on one of the minority movements in Abrahamic religions, Sabbateanism. It analyses the development of the Sabbateanism by controversial Jewish Rabbi, Shabbetai Tzvi in the Ottoman Empire. Tvzi attracted many followers, but also received criticism from orthodox Jews and others, especially when he converted to Islam. The thesis analyses how the movement evolved during Tzvi’s life, and after his death, and what may have urged his followers to hide their religious identities. It then compares this movement with other controversial minority movements, such as Crypto-Christianity and the Ahmadiyya movement in Islam. This comparison offers insight into the minority groups’ challenges, and into the reasons that they have been labelled as ‘heretical’ in Islamic, Christian and Jewish societies. In terms of methodology, the study draws on unique archival materials from Turkey and Israel, dating back to the 17th century. The thesis traces Turkish-Jewish relations prevailing in Asia from the 7th century onwards, to contextualise the Ottoman state’s approach towards Tzvi and his religious movement. It then analyses the State policies towards Sabbateanism and other minority groups. The study critically examines these instances in world history when minorities have been labelled as heratical and some are still labeled as such, even though “tolerance” and “respect” are considered the hallmark of modernization. The study shows that Ottoman rulers developed an elaborate system to accommodate non-Muslim (Dhimmi) societies within the Islamic state. This is perhaps what inspired Toynbee, who was otherwise critical of the Ottoman Empire, to describe it as close to ‘Plato’s ideal state’. This said, the research findings prompt critical reflections on the role of state policies in Ottoman times and beyond, and the effects of religious and national identities on the assertion and flourishing of minority groups

Socio-political challenges of marginal religious groups: the Sabbatean movement as a case study

Minority religious communities, like the Sabbateans, have often been labelled and marginalised by mainstream religions. At times, their leaders have been labelled as ‘false messiahs’ by society or the state. To what extent do states play a role in facilitating the integration of diverse groupings? This question is particularly topical in the 21st century context of cross-border migrations, but also a perennial question facing society, as minority religious movements developed throughout history. The study focuses on one of the minority movements in Abrahamic religions, Sabbateanism. It analyses the development of the Sabbateanism by controversial Jewish Rabbi, Shabbetai Tzvi in the Ottoman Empire. Tvzi attracted many followers, but also received criticism from orthodox Jews and others, especially when he converted to Islam. The thesis analyses how the movement evolved during Tzvi’s life, and after his death, and what may have urged his followers to hide their religious identities. It then compares this movement with other controversial minority movements, such as Crypto-Christianity and the Ahmadiyya movement in Islam. This comparison offers insight into the minority groups’ challenges, and into the reasons that they have been labelled as ‘heretical’ in Islamic, Christian and Jewish societies. In terms of methodology, the study draws on unique archival materials from Turkey and Israel, dating back to the 17th century. The thesis traces Turkish-Jewish relations prevailing in Asia from the 7th century onwards, to contextualise the Ottoman state’s approach towards Tzvi and his religious movement. It then analyses the State policies towards Sabbateanism and other minority groups. The study critically examines these instances in world history when minorities have been labelled as heratical and some are still labeled as such, even though “tolerance” and “respect” are considered the hallmark of modernization. The study shows that Ottoman rulers developed an elaborate system to accommodate non-Muslim (Dhimmi) societies within the Islamic state. This is perhaps what inspired Toynbee, who was otherwise critical of the Ottoman Empire, to describe it as close to ‘Plato’s ideal state’. This said, the research findings prompt critical reflections on the role of state policies in Ottoman times and beyond, and the effects of religious and national identities on the assertion and flourishing of minority groups

Causal Modeling of Twitter Activity During COVID-19

Understanding the characteristics of public attention and sentiment is an essential prerequisite for appropriate crisis management during adverse health events. This is even more crucial during a pandemic such as COVID-19, as primary responsibility of risk management is not centralized to a single institution, but distributed across society. While numerous studies utilize Twitter data in descriptive or predictive context during COVID-19 pandemic, causal modeling of public attention has not been investigated. In this study, we propose a causal inference approach to discover and quantify causal relationships between pandemic characteristics (e.g. number of infections and deaths) and Twitter activity as well as public sentiment. Our results show that the proposed method can successfully capture the epidemiological domain knowledge and identify variables that affect public attention and sentiment. We believe our work contributes to the field of infodemiology by distinguishing events that correlate with public attention from events that cause public attention.Comment: 13 pages, 3 figure

PURIFICATION AND EFFECTIVENESS OF VACCINES AND ANTIVIRAL COMPOUNDS

Viral infections account for over 13 million deaths per year. Antiviral drugs and vaccines are the most effective method to treat viral diseases. Antiviral compounds have revolutionized the treatment of AIDS, and reduced the mortality rate. However, this disease still causes a large number of deaths in developing countries that lack these types of drugs. Vaccination is the most effective method to treat viral disease; vaccines prevent around 2.5 million deaths per year. Vaccines are not able to offer full coverage due to high operational costs in the manufacturing processes. Although vaccines have saved millions of lives, conventional vaccines often offer reactogenic effects. New technologies have been created to eliminate the undesired side effects. However, new vaccines are less immunogenic and adjuvants such as vaccine delivery vehicles are required. This work focuses on the discovery of new natural antivirals that can reduce the high cost and side effects of synthetic drugs. We discovered that two osmolytes, trimethylamine N-oxide (TMAO) and glycine reduce the infectivity of a model virus, porcine parvovirus (PPV), by 4 LRV (99.99%), likely by disruption of capsid assembly. These osmolytes have the potential to be used as drugs, since they showed antiviral activity after 20 h. We have also focused on improving current vaccine manufacturing processes that will allow fast, effective and economical vaccines to be produced worldwide. We propose virus flocculation in osmolytes followed by microfiltration as an economical alternative for vaccine manufacturing. Osmolytes are able to specifically flocculate hydrophobic virus particles by depleting a hydration layer around the particles and subsequently cause virus aggregation. The osmolyte mannitol was able to flocculate virus particles, and demonstrate a high virus removal, 81% for PPV and 98.1% for Sindbis virus (SVHR). Virus flocculation with mannitol, followed by microfiltration could be used as a platform process for virus purification. Finally, we perform biocompatibility studies on soft-templated mesoporous carbon materials with the aim of using these materials as vaccine delivery vehicles. We discovered that these materials are biocompatible, and the degree of biocompatibility is within the range of other biomaterials currently employed in biomedical applications