Aravind Sesagiri Raamkumar

MSD

In the domain of scholarly communication lifecycle, recommender systems have been built to provide research papers for researchers’ explicit and implicit information needs. Previous studies (Jardine, 2014; Mcnee, 2006) have employed an algorithmic approach of providing solutions to researcher’s tasks. The characteristics of the tasks, their inter-r...

Background: The coronavirus disease (COVID-19) pandemic presents one of the most challenging global crises at the dawn of a new decade. Public health authorities (PHAs) are increasingly adopting the use of social media such as Facebook to rapidly communicate and disseminate pandemic response measures to the public. Understanding of communication st...

Background: Public health authorities (PHAs) have been recommending interventions such as physical distancing and face masks, to curtail the transmission of coronavirus disease (COVID-19) within the community. Public perceptions towards such interventions are to be identified so that PHAs can effectively address valid concerns. The Health Belief M...

Empathy is a vital factor that contributes to mutual understanding, and joint problem-solving. In recent years, a growing number of studies have recognized the benefits of empathy and started to incorporate empathy in conversational systems. We refer to this topic as empathetic conversational systems. To identify the critical gaps and future opport...

Background Infodemics – the uncontrolled spread of health misinformation, disinformation, and conflicting information – undermined the global response to COVID-19. This issue has become a policy priority for the World Health Organization (WHO). Our systematic scoping review offers a historical analysis of studies examining misinformation across all...

Empathetic Conversational Systems (ECS) are built to respond empathetically to the user's emotions and sentiments, regardless of the application domain. Current ECS studies evaluation approaches are restricted to offline evaluation experiments primarily for gold standard comparison & benchmarking, and user evaluation studies for collecting human ra...

Large Language Models (LLMs) have demonstrated remarkable performance across various information-seeking and reasoning tasks. These computational systems drive state-of-the-art dialogue systems, such as ChatGPT and Bard. They also carry substantial promise in meeting the growing demands of mental health care, albeit relatively unexplored. As such,...

The concept of empathy is vital in human-agent systems as it contributes to mutual understanding, problem-solving and sustained relationships. Despite the increasing adoption of conversational systems as one of the most significant events in the recent decade, the emotional aspects require considerable improvements, particularly in effectively disp...

The COVID-19 pandemic, characterized by unprecedented loss of life; political instability; and a global infodemic, has eroded public trust in all types of institutions (Edelman, 2021) except business. Public health efforts at managing the pandemic have consequently suffered as political polarization and rampant online misinformation has undermined...

We build on recent examinations questioning the quality of online information about probiotic products by studying the themes of content, detecting virtual communities and identifying key influencers in social media using data science techniques. We conducted topic modelling (n = 36,715 tweets) and longitudinal social network analysis (n = 17,834 t...

During the coronavirus disease 2019 (COVID-19) pandemic, social service agencies (SSAs) play a crucial role in supporting renal patients, who are particularly vulnerable to infections. Social media platforms such as Facebook, serves as an effective medium for these SSAs to disseminate information. Content analysis of the SSAs’ Facebook posts can pr...

This study aims to describe Facebook users’ beliefs toward physical distancing measures implemented during the Coronavirus disease (COVID-19) pandemic using the key constructs of the health belief model. A combination of rule-based filtering and manual classification methods was used to classify user comments on COVID-19 Facebook posts of three pub...

The Singapore government implemented multiple restrictive measures as the novel coronavirus infection (COVID-19) spread through the community, thereby affecting the support service of cancer-related social service agencies (cancer-SSAs). We are interested to understand how Singapore's cancer-SSAs utilized the social media platform Facebook to overc...

Altmetrics are new-age research impact metrics that hold the promise of looking beyond the traditional methods of measuring research impact. Altmetrics are real-time metrics that show the outreach of scientific research among an audience from different academic and non-academic backgrounds. Several altmetric systems have been developed in the last...

The Singapore government implemented multiple restrictive measures as the novel coronavirus infection (COVID-19) spread through the community, thereby affecting the support service of cancer-related social service agencies (cancer-SSAs). We are interested to understand how Singapore's cancer-SSAs utilized the social media platform Facebook to overc...

BACKGROUND During the coronavirus disease 2019 (COVID-19) pandemic, social service agencies (SSAs) play a crucial role in supporting renal patients, who are particularly vulnerable to infections. Social media platforms such as Facebook, serves as an effective medium for these SSAs to disseminate information. OBJECTIVE Content analysis of the SSAs’...

Background: Public health authorities (PHAs) have been recommending interventions such as physical distancing and face masks, to curtail the transmission of coronavirus disease (COVID-19) within the community. Public perceptions towards such interventions are to be identified so that PHAs can effectively address valid concerns. The Health Belief Mo...

BACKGROUND The Coronavirus Disease 2019 (COVID-19) outbreak presents one of the most challenging global crisis at the dawn of a new decade. Public health authorities (PHA) are increasingly adopting the use of social media such as Facebook to rapidly communicate and disseminate outbreak response measures to the public. Understanding of communication...

This paper investigates the Twitter interaction patterns of journals from the Science Citation Index (SCI) of Master Journal List (MJL). A total of 953,253 tweets extracted from 857 journal accounts, were analyzed in this study. Findings indicate that SCI journals interacted more with each other but much less with journals from other citation indic...

This paper investigates the Twitter interaction patterns of journals from the Science Citation Index (SCI) of Master Journal List (MJL). A total of 953,253 tweets extracted from 857 journal accounts, were analyzed in this study. Findings indicate that SCI journals interacted more with each other but much less with journals from other citation indic...

Recently, social media has become a potentially new way for scholarly journals to disseminate and evaluate research outputs. Scholarly journals have started promoting their research articles to a wide range of audiences via social media platforms. This paper aims to investigate the social media presence of scholarly journals across disciplines. We...

Health and wellness coaching (HWC) has emerged as an important vocation that complements traditional primary care and caregiving services. Although prior studies have reviewed HWC scientific literature, there is an apparent lack of literature on the global HWC training programmes. In this paper, we attempt to address this gap by analysing data pert...

Research papers are often shared in Twitter to facilitate better readership. Tweet counts are embedded in journal websites and academic databases, to emphasize the impact of papers in social media. However, more number of tweets per paper is doubted as an indicator of research quality. Hence, there is a need to look at the intrinsic factors in twee...

BACKGROUND: The behavior of medication nonadherence is distinguished into primary and secondary nonadherence. Primary nonadherence (PNA) is not as thoroughly studied as secondary nonadherence. OBJECTIVE: To explore and synthesize contributing factors to PNA based on the existing body of literature. METHODS: A search was performed on the PubMed, P...

Reseachers have investigated numerous factors influencing citation counts of cited papers. One factor investigated has been the number of gained citations, as this could increase the visibility of cited papers and subsequently induce further citations. In this paper, aiming to identify a particular kind of citation that could trigger a rapid growth...

Scholarly communication has the scope to transcend the limitations of the physical world through social media extended coverage and shortened information paths. Accordingly, publishers have created profiles for their journals in Twitter to promote their publications and to initiate discussions with public. This paper investigates the Twitter presen...

Recommendation techniques in scientific paper recommender systems (SPRS) have been generally evaluated in an offline setting, without much user involvement. Nonetheless, user relevance of recommended papers is equally important as system relevance. In this paper, we present a scientific paper recommender system (SPRS) prototype which was subject to...

This book constitutes the refereed proceedings of the International Workshop on Altmetrics for Research Outputs Measurements and Scholarly Information Management, AROSIM 2018, held in Singapore, in January 2018. The 7 revised full papers presented together with two keynote papers and one introduction paper were carefully reviewed and selected from...

Altmetrics" refers to novel metrics, often based on social media, for measuring the impact of diverse scholarly objects such as research papers, source code, or datasets. Altmetrics complement traditional metrics, such as bibliometrics, by offering novel data points to give a more holistic understanding of the outreach of research outputs. This inc...

Artificial Intelligence is currently a popular research field. With the development of deep learning techniques, researchers in this area have achieved impressive results in a variety of tasks. In this initial study, we explored scientific papers in Artificial Intelligence, making comparisons between papers authored by the top universities and comp...

Purpose – During literature review, the task of finding similar research papers can be a difficult proposition for researchers due to the procedural complexity of the task. Current systems and approaches help in finding similar papers for a given paper, even though researchers tend to additionally search using a set of papers. Our research focuses...

India's approach to disseminating information about the first three cases of the Zika virus was criticised nationally and internationally after the issue came to light in May 2017 through a World Health Organization news release. We analyse the incident from a risk communication perspective. This commentary recaps the events and synthesises key arg...

Artificial Intelligence is currently a popular research field. With the development of deep learning techniques, researchers in this area have achieved impressive results in a variety of tasks. In this initial study, we explored scientific papers in Artificial Intelligence, making comparisons between papers authored by the top universities and comp...

Scholarly communication has the scope to transcend the limitations of the physical world through social media's extended coverage and shortened information paths. Accordingly, publishers have created profiles for their journals in Twitter to promote their publications and to initiate discussions with public. This paper investigates the Twitter pres...

Purpose – Although many interventional approaches have been proposed to address the apparent gap between novices and experts for literature review (LR) search tasks, there have been very few approaches proposed for manuscript preparation (MP) related tasks. This paper describes a task and an incumbent technique for shortlisting important and unique...

Citation count is an important indicator for measuring research outputs. There have been numerous studies that have investigated factors affecting citation counts from the perspectives of cited papers and citing papers. In this paper, we focused specifically on citing papers and explored citations sourced from prestigious affiliations in the comput...

There have been many studies on the factors influencing paper citation counts. A number of studies have focused on the citing papers, and corresponding methods were proposed to measure the prestige of citations based on the journal impact factors, the total citation counts and the PageRank algorithm values. However, there are drawbacks to these met...

Purpose – Systems to support literature review and manuscript preparation tend to focus on only one or two of the tasks involved. This paper describes an intervention framework that redesigns a particular set of tasks, allowing for interconnectivity between the tasks and providing appropriate UI display features for each task in a prototype system....

An initial reading list is prepared by researchers at the start of literature review for getting an overview of the research performed in a particular area. Prior studies have taken the approach of merely recommending seminal or popular papers to aid researchers in such a task. In this paper, we present an alternative technique called the AKR (Auth...

Introduction.This paper looks at the issue of inadequate and omitted citations in manuscripts by collecting the experiential opinions of researchers from the dual perspectives of manuscript reviewers and authors. Method. An online survey was conducted with participation from 207 respondents who had experience of reviewing and authoring research pa...

In this paper, we propose a framework that combines aspects of user role modeling and user-interface features with retrieval and recommender systems components. The framework is based on emergent themes identified from participants feedback in a user evaluation study conducted with a prototype assistive system. 119 researchers participated in the s...

Information retrieval (IR) and recommender systems (RS) have been employed for addressing search tasks executed during literature review and the overall scholarly communication lifecycle. Majority of the studies have concentrated on algorithm design for improving the accuracy and usefulness of these systems. Contextual elements related to the schol...

Literature Review (LR) and Manuscript Preparatory (MP) tasks are two key activities for researchers. While process-based and technological oriented interventions have been introduced to bridge the apparent gap between novices and experts for LR tasks, there are very few approaches for MP tasks. In this paper, we introduce a novel task of shortlisti...

We demonstrate the recently built Rec4LRW system, meant for assisting researchers in three literature review and manuscript writing tasks. The system has been designed to be useful for all researchers, albeit the evaluation results show that it is more beneficial for research students and beginners. In this demonstration, we provide a walkthrough o...

Twitter as a micro-blogging platform rose to instant fame mainly due to its minimalist features that allow seamless communication between users. As the conversations grew thick and faster, a placeholder feature called as Hashtags became important as it captured the themes behind the tweets. Prior studies have investigated the conversation dynamics,...

Hashtags are placeholder features for capturing the underlying themes in microblog posts. Prior studies have investigated the conversation dynamics, interplay with other media platforms and communication patterns between users for specific event-based hashtags. Commonplace hashtags have been largely ignored, albeit the utility of these hashtags is...

In this paper, we start by analyzing the presence of grey literature (GL) references in the bibliographies of different article-types using an extract of 122,406 articles from the ACM Digital Library. GL articles accounted for about 16% of the overall references with highest presence in proceedings (17.61%). Boosting techniques for promoting GL ref...

The subject area of this report is Linked Data and its application to the Government domain. Linked Data is an alternative method of data representation that aims to interlink data from varied sources through relationships. Governments around the world have started publishing their data in this format to assist citizens in making better use of publ...

In this paper, we introduce Rec4LRW, a recommender system (RS) for assisting researchers in finding research papers for their literature review and writing purposes. This system focuses on three researcher tasks-(1) Building a reading list of research papers, (2) Finding similar papers based on a set of papers, and (3) Shortlisting papers from the...