Frequency and Symptomatology of Hiccups in Patients With Cancer: Using an On-Line Medical Community to Better Understand the Patient Experience

2021 ◽  
pp. 104990912110069
Author(s):  
Christopher Ehret ◽  
Colleen Young ◽  
Christine J. Ellefson ◽  
Lee A. Aase ◽  
Aminah Jatoi
Keyword(s):  
Quality Of Life ◽  
Social Media ◽  
Cancer Therapy ◽  
Patient Experience ◽  
Medical Community ◽  
Social Media Platform ◽  
Patients With Cancer ◽  
On Line ◽  
Media Platform

Background: Cancer patients are at risk for hiccups, but the incidence and impact on quality of life are unclear. Methods: A survey (modified from the Functional Living Index with the inclusion of qualitative elements) was developed and launched on an 80,000-member medical social media platform, Mayo Clinic Connect https://connect.mayoclinic.org/ . Results: Among 213 respondents, 34 (16%; 95% CI: 11, 22%) reported “yes” that they had experienced hiccups with cancer therapy. Of those patients who reported hiccups, only 12 (35%) were men, and most were older than 50 years of age. Over 25% noted that hiccups occurred frequently around the time of cancer therapy; 30% described that hiccups interfered with their leisure or recreational activities; and over 15% described hiccups interfered with their ability to enjoy a meal. A few patients seemed to express frustration with hiccups with comments such as, “Totally uncontrollable,” “It’s extremely pain[ful] with throat cancer,” and “Once I had them bad. Almost choked.” Conclusion: Hiccups occur in16% of patients who are receiving cancer therapy and, by our estimates and extrapolation, appear highly problematic in approximately 5%.

Assembling via ‘Danmu’

2020 ◽  
Vol 9 (1) ◽  
pp. 108-119
Author(s):  
Wenhao Bi
Keyword(s):  
Social Media ◽  
Interface Design ◽  
Participatory Design ◽  
The Political ◽  
Social Media Platform ◽  
Video Sharing ◽  
Speaking Out ◽  
Media Platform

The ‘danmu’ system in the Chinese video-sharing social media platform Bilibili, in allowing comments to sync to any specific playback time, has constructed a community where separated viewers can join in the seemingly simultaneous conversations at the same time they watch videos. The participatory design of such co-presence demonstrates the political and cultural gesture of speaking out and exchanging ideas as the main orientation of the platform. Through danmu comments are the living networks connected both in the videos they are attached to, and in Bilibili as a whole. Despite the instantaneous emotions displayed in individual danmu comments, there are affective connections that shape the temporal quality of participation. The playfulness embedded in the interface design has further directed the gratification of speaking out on the platform.

scholarly journals Development of the Functional Assessment of Cancer Therapy–Immune Checkpoint Modulator (FACT‐ICM): A toxicity subscale to measure quality of life in patients with cancer who are treated with ICMs

Cancer ◽  
2020 ◽  
Vol 126 (7) ◽  
pp. 1550-1558 ◽  
Author(s):  
Aaron R. Hansen ◽  
Kari Ala‐Leppilampi ◽  
Chris McKillop ◽  
Lillian L. Siu ◽  
Philippe L. Bedard ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cancer Therapy ◽  
Functional Assessment ◽  
Immune Checkpoint ◽  
Patients With Cancer

scholarly journals Sentiment Analysis: Classifier and Summarizer

2021 ◽  
Vol 9 (VII) ◽  
pp. 3997-4016
Author(s):  
Ayushi Aggarwal
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Sentiment Analysis ◽  
Unstructured Data ◽  
Learning Approaches ◽  
Social Media Platform ◽  
Basic Model ◽  
Media Platform

Sentiment Analysis and summarization has a large number of application that are useful for determining the sentiment of the text and summarizing a big text into a small paragraph of few lines. Thus it has become an important topic to work on and for fulling the requirements of the customer. It has also become an important topic for researchers to focus on, as it is highly demanded and beneficial in different fields of product, services and growth of the business. At present when 89.9% of people are using social media platform, they express their reviews, feelings, emotions and share their comments and some exciting activities of their life through social media platform, so it becomes very important to analyses them and classify them as positive or negative, this can be done with the help of sentiment analysis. Also, to find the summary of a big document with large amount of data summarizer is very useful as we can get the summary of a document in the favorable number of line. The basic model of sentimental analysis classify the word as positive as negative with the help of some machine learning approaches, which will help in improving the quality of product and providing the service to the customer for building up a healthy competition in market and keeping the goodwill of the business . It also displays the output in the form of graph whose data is taken from social media platform. Sentimental analysis also helps in getting the summary of the document by picking the lines containing the words having maximum repetitions. It has been found that sentiment analysis able to classify the positive sentence by giving the output as 1 and negative sentences as 0. The model which is being built also graphically represents the classifications of positive and negative words picked from the dataset and it’s also useful in summarizing a document Thus sentiment analysis comes out to be very important for classify the unstructured data on social media platform and so there is always a scope of building a better model which is more accurate and efficient.

Sosyal medyada Suriye’li sığınmacılara yönelik algı: bir sözlük değerlendirmesi

2017 ◽  
Vol 4 (2) ◽  
pp. 185-200 ◽  
Author(s):  
Servet Kardeş ◽  
Çağla Banko ◽  
Berrin Akman
Keyword(s):  
Qualitative Research ◽  
Social Media ◽  
Content Analysis ◽  
Syrian Refugees ◽  
Analysis Method ◽  
Social Media Platform ◽  
Content Analysis Method ◽  
Negative News ◽  
Media Platform ◽  
Made In

Bu araştırmada sığınmacılara yönelik paylaşımların yapıldığı sosyal medyada yer alan sözlüklerden birinde sığınmacılara yönelik algıya bakılmıştır. Yöntem olarak nitel desende olan bu çalışmada, bir sosyal medya sitesinde yer alan paylaşımlar içerik analizi yoluyla derinlemesine incelenip yorumlanmıştır. Araştırmanın sonucunda sosyal medya kullanıcılarının sığınmacıları büyük bir güvensizlik ortamı ve huzursuzluk yaratan bireyler olarak gördükleri saptanmış, sığınmacılarla yaşanan deneyimlerin ve medyadaki haberlerin bu düşüncelerin oluşmasında etkisinin olduğu belirlenmiştir. Bunun yanında sosyal medya kullanıcılarının devletin sığınmacılar konusunda yanlış politika izlediğini düşündükleri ve sığınmacılar için etkili bir planlama yapılmadığını ifade ettikleri görülmüştür. Çalışmanın sonuçları doğrultusunda medyada sığınmacılar hakkında çıkan haberlerde olumsuz ve şiddet temalı haberlerin azaltılması, Suriyeli sığınmacıların durumu, sahip oldukları haklar ve topluma yansımaları hakkında doğru ve bilgilendirici kamu spotları hazırlanması ayrıca sığınmacıların topluma entegre olma sürecinin her basamağında daha planlı ve etkili bir yol izlenmesi önerilebilir.ABSTRACT IN ENGLISHPerceptions about Syrian refugees on social media: an evaluation of a social media platformIn this research, posts which are about Syrian refugees were published in a social media platform, called as “sözlük” were investigated. The research is a qualitative research. The posts in this platform are analyzed with content analysis method. According to results of analyses, social media users see Syrian refugees as people who create an insecure and a restless environment. The experiences people had with them and news have an effect on this view. In addition, social media users think that government made inappropriate policies and ineffective plans about Syrian refugees. It is suggested negative news about Syrian refugees should be decreased and government should make safer policies. In addition, adaptation of refugees to society should be made in more planned and effective way.

Value cocreation behavior of customers and companies on the Weibo social media platform

2020 ◽  
Vol 48 (3) ◽  
pp. 1-11
Author(s):  
Huiqin Zhang ◽  
Hai Lan ◽  
Xudong Chen
Keyword(s):  
Social Media ◽  
Service Quality ◽  
Customer Value ◽  
Two Dimensions ◽  
Customer Participation ◽  
Citizenship Behavior ◽  
Generation Process ◽  
Social Media Platform ◽  
Value Cocreation ◽  
Media Platform

The Weibo social media platform in China has an important role in the value-generation process between a company and a customer. We investigated the relationship between the service quality provided on a company's Weibo page and the two dimensions of customer value cocreation behavior, namely, participation and citizenship, as well as the moderating effect of collectivism on this relationship. Participants were 354 active users of Weibo. Our findings confirmed that the service quality provided on a company's Weibo page was critical to the generation of customer value cocreation behavior. Further, collectivism moderated this relationship, with higher levels of collectivism strengthening the Weibo page service quality and customer value cocreation behavior relationship. In addition, customer citizenship behavior was positively related to customer perceptions of brand image, whereas customer participation was not. Implications for companies in the Chinese context are discussed.

Earth-Science Outreach Using an Integrated Social Media Platform

GSA Today ◽  
2017 ◽  
Author(s):  
C.J. Spencer ◽  
K.L. Gunderson ◽  
C.W. Hoiland ◽  
W.K. Schleiffarth
Keyword(s):  
Social Media ◽  
Earth Science ◽  
Science Outreach ◽  
Social Media Platform ◽  
Media Platform
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