scholarly journals Factors Affecting Conversation Design for Digital Political Personae

2021 ◽  
Author(s):  
◽  
Reuben Cox
Keyword(s):  
Social Media ◽  
Digital Tools ◽  
Prior Work ◽  
Review Of The Literature ◽  
Factors Affecting ◽  
Iterative Design ◽  
Large Numbers ◽  
Political Conversation ◽  
Online Spaces ◽  
Effective Use

<p>Digital political personae are common on social media, representing a potential avenue to inform and engage citizens in political conversation. While personae that function as a digital extension of politicians and commentators are clearly identifiable, large numbers of automated personae of limited sophistication also engage in political exchanges in online spaces. Despite their prevalence, little prior work has addressed conversation design approaches to maximise the effectiveness of digital political personae in their interactions with users.  A review of the literature highlighted a range of approaches for effective use of digital tools in political contexts, including strategies for conveying information, sustaining engagement and employing and responding to emotive language on polarising topics. Examination of interactions with existing political personae on social media revealed that many of these approaches were limited or absent from the current conversational paradigm.  Chatbot software was used to explore methods that would address the issues identified with existing digital political personae through an iterative design process. A layered interaction scenario was developed that supports branching political conversation on a central topic, with a base of secondary topics to enhance the utility of the persona. The conversation design developed incorporates lessons from the literature on use of effective digital tools for political conversation, and has the potential to engage and inform large numbers of participants, as well as gather information from them for analysis.</p>

scholarly journals Factors Affecting Conversation Design for Digital Political Personae

2021 ◽  
Author(s):  
◽  
Reuben Cox
Keyword(s):  
Social Media ◽  
Digital Tools ◽  
Prior Work ◽  
Review Of The Literature ◽  
Factors Affecting ◽  
Iterative Design ◽  
Large Numbers ◽  
Political Conversation ◽  
Online Spaces ◽  
Effective Use

<p>Digital political personae are common on social media, representing a potential avenue to inform and engage citizens in political conversation. While personae that function as a digital extension of politicians and commentators are clearly identifiable, large numbers of automated personae of limited sophistication also engage in political exchanges in online spaces. Despite their prevalence, little prior work has addressed conversation design approaches to maximise the effectiveness of digital political personae in their interactions with users.  A review of the literature highlighted a range of approaches for effective use of digital tools in political contexts, including strategies for conveying information, sustaining engagement and employing and responding to emotive language on polarising topics. Examination of interactions with existing political personae on social media revealed that many of these approaches were limited or absent from the current conversational paradigm.  Chatbot software was used to explore methods that would address the issues identified with existing digital political personae through an iterative design process. A layered interaction scenario was developed that supports branching political conversation on a central topic, with a base of secondary topics to enhance the utility of the persona. The conversation design developed incorporates lessons from the literature on use of effective digital tools for political conversation, and has the potential to engage and inform large numbers of participants, as well as gather information from them for analysis.</p>

scholarly journals Management of Giant Gastric Ulcer Perforation: Report of a Case and Review of the Literature

2016 ◽  
Vol 2016 ◽  
pp. 1-3
Author(s):  
Nitin Vashistha ◽  
Dinesh Singhal ◽  
Gurpreet Makkar ◽  
Suneel Chakravarty ◽  
Vivek Raj
Keyword(s):  
Gastric Ulcer ◽  
Multidetector Ct ◽  
Symptom Relief ◽  
Gastric Ulcers ◽  
Review Of The Literature ◽  
H2 Receptor Antagonist ◽  
Factors Affecting ◽  
High Incidence ◽  
Surgical Options

Giant gastric ulcer (GGU) is defined as an ulcer more than 3 cm in diameter. Now infrequent in clinical practice, in the pre-H2 receptor antagonist (H2RA) era, the incidence of GGU varied between 12 and 24% of all gastric ulcers. Proton pump inhibitors reportedly achieve better healing rates and symptom relief in comparison to H2RA. The GGU is associated with high incidence of serious complications such as hemorrhage. A perforated GGU though rare (<2%) offers serious challenges in management. We report one such case wherein the role of multidetector CT scan (MDCT) for diagnosis and treatment planning, surgical options for GGU perforations, and factors affecting outcome are discussed.

scholarly journals Activity in the brain’s valuation and mentalizing networks is associated with propagation of online recommendations

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elisa C. Baek ◽  
Matthew Brook O’Donnell ◽  
Christin Scholz ◽  
Rui Pei ◽  
Javier O. Garcia ◽  
...  
Keyword(s):  
Social Media ◽  
Word Of Mouth ◽  
Mental States ◽  
Brain Regions ◽  
Prior Work ◽  
Opinion Change ◽  
Wide Range ◽  
The Mind ◽  
Mentalizing System

AbstractWord of mouth recommendations influence a wide range of choices and behaviors. What takes place in the mind of recommendation receivers that determines whether they will be successfully influenced? Prior work suggests that brain systems implicated in assessing the value of stimuli (i.e., subjective valuation) and understanding others’ mental states (i.e., mentalizing) play key roles. The current study used neuroimaging and natural language classifiers to extend these findings in a naturalistic context and tested the extent to which the two systems work together or independently in responding to social influence. First, we show that in response to text-based social media recommendations, activity in both the brain’s valuation system and mentalizing system was associated with greater likelihood of opinion change. Second, participants were more likely to update their opinions in response to negative, compared to positive, recommendations, with activity in the mentalizing system scaling with the negativity of the recommendations. Third, decreased functional connectivity between valuation and mentalizing systems was associated with opinion change. Results highlight the role of brain regions involved in mentalizing and positive valuation in recommendation propagation, and further show that mentalizing may be particularly key in processing negative recommendations, whereas the valuation system is relevant in evaluating both positive and negative recommendations.

scholarly journals Analysis of Factors Influencing Effective Utilization Coefficient of Irrigation Water in the Manas River Basin

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 189
Author(s):  
Lili Yang ◽  
Tong Heng ◽  
Guang Yang ◽  
Xinchen Gu ◽  
Jiaxin Wang ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Large Scale ◽  
Grey Model ◽  
Analytic Hierarchy ◽  
Effective Utilization ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Utilization Coefficient ◽  
Using Data ◽  
Effective Use

The factors influencing the effective utilization coefficient of irrigation water are not understood well. It is usually considered that this coefficient is lower in areas with large-scale irrigation. With this background, we analyzed the effective utilization coefficient of irrigation water using the analytic hierarchy process using data from 2014 to 2019 in Shihezi City, Xinjiang. The weights of the influencing factors on the effective utilization coefficient of irrigation water in different irrigation areas were analyzed. Predictions of the coefficient’s values for different years were made by understanding the trends based on the grey model. The results show that the scale of the irrigation area is not the only factor determining the effective utilization coefficient of irrigation water. Irrigation technology, organizational integrity, crop types, water price management, local economic level, and channel seepage prevention are the most critical factors affecting the effective use of irrigation water. The grey model prediction results show that the effective utilization coefficient of farmland irrigation water will continuously increase and reach 0.7204 in 2029. This research can serve as a reference for government authorities to make scientific decisions on water-saving projects in irrigation districts in terms of management, operation, and investment.

An Experimental Study of Spammer Detection on Chinese Microblogs

2020 ◽  
Vol 30 (11n12) ◽  
pp. 1759-1777
Author(s):  
Jialing Liang ◽  
Peiquan Jin ◽  
Lin Mu ◽  
Jie Zhao
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
User Behavior ◽  
Real Data ◽  
User Profile ◽  
Data Set ◽  
Sina Weibo ◽  
Factors Affecting ◽  
The Government ◽  
Hot Event

With the development of Web 2.0, social media such as Twitter and Sina Weibo have become an essential platform for disseminating hot events. Simultaneously, due to the free policy of microblogging services, users can post user-generated content freely on microblogging platforms. Accordingly, more and more hot events on microblogging platforms have been labeled as spammers. Spammers will not only hurt the healthy development of social media but also introduce many economic and social problems. Therefore, the government and enterprises must distinguish whether a hot event on microblogging platforms is a spammer or is a naturally-developing event. In this paper, we focus on the hot event list on Sina Weibo and collect the relevant microblogs of each hot event to study the detecting methods of spammers. Notably, we develop an integral feature set consisting of user profile, user behavior, and user relationships to reflect various factors affecting the detection of spammers. Then, we employ typical machine learning methods to conduct extensive experiments on detecting spammers. We use a real data set crawled from the most prominent Chinese microblogging platform, Sina Weibo, and evaluate the performance of 10 machine learning models with five sampling methods. The results in terms of various metrics show that the Random Forest model and the over-sampling method achieve the best accuracy in detecting spammers and non-spammers.

Tweeting Into the Void: Effective Use of Social Media for Healthcare Professionals

2021 ◽  
Vol September 2021 - Online First ◽  
Author(s):  
Leora I Horwitz ◽  
Allan S Detsky
Keyword(s):  
Social Media ◽  
Healthcare Professionals ◽  
Use Of Social Media ◽  
Effective Use

Facework on Social Media in China

2021 ◽  
Author(s):  
Xiaoli Tian ◽  
Qian Li
Keyword(s):  
Social Media ◽  
Social Interactions ◽  
Future Research ◽  
Sociological Research ◽  
Interpersonal Interactions ◽  
The World ◽  
Online Spaces ◽  
The Face ◽  
Different Parts

With more social interactions shifting to online venues, the different attributes of major social media sites in China influence how interpersonal interactions are carried out. Despite the lack of physical co-presence online, face culture is extended to online spaces. On social media, Chinese users tend to protect their own face, give face to others, and avoid discrediting the face of others, especially when their online and offline networks overlap. This chapter also discusses the different methods used to study facework online and offline and how facework is studied in different parts of the world. It concludes with a brief discussion of how sociological research has contributed to the study of social media in China and directions for future research.

scholarly journals Evaluation of the Mean Platelet Volume and Red Cell Distribution Width in FMF: Are They Related to Subclinical Inflammation or Not?

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Gozde Yildirim Cetin ◽  
Ozlem Gul ◽  
Fatma Kesici-Metin ◽  
İrem Gokalp ◽  
Mehmet Sayarlıoglu
Keyword(s):  
Negative Correlation ◽  
Treatment Decision ◽  
Control Group ◽  
Subclinical Inflammation ◽  
Distribution Width ◽  
Factors Affecting ◽  
Additional Information ◽  
Large Numbers ◽  
Healthy Control ◽  
Group A

In this paper we want to demonstrate whether higher than normal levels of RDW, and lower than normal levels of MPV can be used as indicators of subclinical inflammation and tools for treatment decision in FMF or not. The participants in this study included 89 patients with FMF during attack-free periods and 30 healthy controls. The RDW and platelet counts were significantly higher, while the MPV was significantly lower in the patients with FMF group than healthy control group (P<0.001;P=0.005;P<0.001, resp.). In the attack-free FMF group, a negative correlation was found between the MPV and RDW values (P<0.001,r=-0.40). The positive correlation was found between the RDW and ESR (r=0.23,P=0.028). And the negative correlation was found between the MPV and CRP (r=-0.216,P=0.042). Consequently, our results suggest that low MPV and high RDW levels may provide additional information about subclinical inflammation in FMF patients. But other strong predisposing factors affecting subclinical inflammation in FMF should be considered. Further studies with large numbers of patients are needed. Treatment of FMF should include not only prevention of acute attacks but also decreasing of the subclinical inflammation.

scholarly journals Social Media Marketing Perspectives in the Organization in Morelia, Mexico

2016 ◽  
Vol 8 (2) ◽  
pp. 128
Author(s):  
Salvador Madrigal Moreno ◽  
Gerardo Gabriel Alfaro Calderón ◽  
Flor Madrigal Moreno
Keyword(s):  
Social Media ◽  
Communication Strategies ◽  
Social Media Marketing ◽  
Contemporary Society ◽  
Review Of The Literature ◽  
Digital Inclusion ◽  
Challenges And Opportunities ◽  
Use Of Social Media

<p>Social media marketing (SMM) is a reality in contemporary society. This research presents a review of the literature on the phenomenon of SMM to establish the challenges and opportunities social media faces. Subsequently, the digital inclusion in Mexico is discussed roughly focusing on the situation of SMM in the organization in Morelia. The purpose of this paper is to contextualize the use of social media and establish the challenges and opportunities of inclusion in communication strategies and marketing in the organization in Morelia. It is confirmed that the contemporary society has established the conditions to implement properly social media marketing in Morelia.</p>

Sign in / Sign up

Export Citation Format

Share Document