scholarly journals Mining Flickr: a method for expanding the known distribution of invasive species

2019 ◽  
pp. 11-14 ◽  
Author(s):  
Steven Allain
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Invasive Species ◽  
Fresh Water ◽  
Current Distribution ◽  
Image Sharing ◽  
Rate Of Spread ◽  
Online Social Media ◽  
Significant Difference ◽  
The Uk

It is important to map invasive species in order to demonstrate their rate of spread and current distribution. Most recording schemes rely on opportunistic sightings and awareness to collect and gather data. Mining data from online social media and other data sharing platforms has become more prevalent in recent years as increasing numbers of users share more information. In this study, sightings from the image sharing platform Flickr were compared with the records submitted to the national recording scheme Record Pool. This study was completed to determine whether or not there was a significant difference between these two as sources for sightings of fresh water turtles across the UK.

scholarly journals Digital sources: a case study of the analysis of the Recovery of Historical Memory in Spain on the social network Twitter

2019 ◽  
Vol 7 (2) ◽  
pp. 015 ◽  
Author(s):  
Mariluz Congosto
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Social Network ◽  
Historical Memory ◽  
Historical Research ◽  
Huge Amount ◽  
Online Social Media ◽  
The Social ◽  
Special Relevance

The incorporation of digital sources from online social media into historical research brings great opportunities, although it is not without technological challenges. The huge amount of information that can be obtained from these platforms obliges us to resort to the use of quantitative methodologies in which algorithms have special relevance, especially regarding network analysis and data mining. The Recovery of Historical Memory in Spain on the social network Twitter will be analysed in this article. An open-code tool called T-Hoarder was used; it is based on objectivity, transparency and knowledge-sharing. It has been in use since 2012.

Purchaser's Optimistic Response to Social Media Advertisements—A Data Mining Approach

2019 ◽  
Vol 16 (2) ◽  
pp. 664-668
Author(s):  
S. Magesh ◽  
S. Vijayalakshmi
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Clustering Techniques ◽  
Data Mining Approach ◽  
Online Social Media ◽  
Online Advertisements ◽  
Online Advertisement ◽  
Selection Of ◽  
Significant Factors

The paper aspires at discovering the most indispensable factors persuading customer reactions and purchasing commodities after observing online advertisements of social media and recognizing the distinctiveness of clusters of Purchaser having the optimistic reaction, over and above of buying customer clusters after analyzing online advertisement in social media. The selection of attribute and clustering techniques are incorporated in the analysis of data to find significant factors and target customer clusters correspondingly through data mining approach. It has been identifies that there is a strapping correlation between the advertisement being clicked on social media and the fulfillment with commodities, and amidst purchasing commodities online and saving information for supplementary deliberations. The findings also points out the characteristics of product and price Conscious clusters for Purchasers' reaction and procuring after seeing online social media advertisement.

scholarly journals Illicit Drug Markets, Consumer Capitalism and the Rise of Social Media: A Toxic Trap for Young People

2019 ◽  
Vol 27 (4) ◽  
pp. 591-610 ◽  
Author(s):  
Keir Irwin-Rogers
Keyword(s):  
Social Media ◽  
Young People ◽  
Illicit Drug ◽  
Drug Distribution ◽  
Drug Markets ◽  
Drug Dealing ◽  
Consumer Capitalism ◽  
Online Social Media ◽  
Media Platform ◽  
The Uk

Abstract This article explores young people’s involvement in illicit drug markets in England. It focuses in particular on why young people become involved in illicit drug distribution, the extent to which their involvement is predicated on adults’ use of threats and violence, and how young people frame the morality of drug dealing. The article’s findings are based on a unique dataset generated by a six-month period of online social media platform analysis, alongside additional data drawn from periods of observation, focus groups and interviews with young people and professionals. In short, I argue that drug prohibition, consumer capitalism, severe levels of inequality, and emerging problems associated with the rise of online social media are combining to produce a toxic trap that is dragging tens of thousands of young people into street-level drug dealing. Considered in this context, the inadequacy of the UK government’s response to some of the main harms associated with illicit drug markets is clear: children and young people will continue to be coerced and exploited until either drug markets are legalized and regulated, or they have realistic opportunities to pursue lives that offer genuine meaning, decent levels of income, and levels of status and respect that are comparable to those provided by drug distribution.

On-Air and Online: Social Media and Local Radio Production in the UK

MedienJournal ◽  
2017 ◽  
Vol 39 (2) ◽  
pp. 5-18
Author(s):  
Anna Zoellner ◽  
Stephen Lax
Keyword(s):  
Social Media ◽  
Radio Stations ◽  
Broadcast Media ◽  
Online Social Media ◽  
The Social ◽  
Use Of Social Media ◽  
The Uk ◽  
Media Practices ◽  
The Relationship

Digitalisation and the emergence of online media in particular have led to intense debates about its effects on what is now often called “traditional media” including broadcast media such as radio. Our paper investigates how radio stations’ expansion into online space has transformed radio production. Focusing on the relationship between station and listeners, it discusses the social media practices of radio producers and explores whether these new digital tools contribute to a shift towards a more participatory production culture. The paper draws on data from a multi-method case study investigation of local British radio stations that combined programme analysis, expert interviews and web analysis. The study highlighted a shared belief among producers in the importance and value of social media for achieving audience loyalty and engagement. Nevertheless –not least due to a lack of additional resources –their use of social media is mainly an extension of traditional journalistic and promotional tech niques. Its potential for listener involvement in the production process is not met and exchanges with the audiences remain in the digital realm without impact on the on-air listener experience.  

scholarly journals Knowing the Tweeters: Deriving Sociologically Relevant Demographics from Twitter

2013 ◽  
Vol 18 (3) ◽  
pp. 74-84 ◽  
Author(s):  
Luke Sloan ◽  
Jeffrey Morgan ◽  
William Housley ◽  
Matthew Williams ◽  
Adam Edwards ◽  
...  
Keyword(s):  
Social Media ◽  
Spatial Information ◽  
Demographic Data ◽  
Social Science Research ◽  
Science Research ◽  
Geographical Information ◽  
Online Social Media ◽  
Twitter Users ◽  
Use Of Social Media ◽  
The Uk

A perennial criticism regarding the use of social media in social science research is the lack of demographic information associated with naturally occurring mediated data such as that produced by Twitter. However the fact that demographics information is not explicit does not mean that it is not implicitly present. Utilising the Cardiff Online Social Media ObServatory (COSMOS) this paper suggests various techniques for establishing or estimating demographic data from a sample of more than 113 million Twitter users collected during July 2012. We discuss in detail the methods that can be used for identifying gender and language and illustrate that the proportion of males and females using Twitter in the UK reflects the gender balance observed in the 2011 Census. We also expand on the three types of geographical information that can be derived from Tweets either directly or by proxy and how spatial information can be used to link social media with official curated data. Whilst we make no grand claims about the representative nature of Twitter users in relation to the wider UK population, the derivation of demographic data demonstrates the potential of new social media (NSM) for the social sciences. We consider this paper a clarion call and hope that other researchers test the methods we suggest and develop them further.

scholarly journals Mode and Frequency of Covid-19 Information Updates, Political Values, and Future Covid-19 Vaccine Attitudes

2020 ◽  
Author(s):  
Siobhan McAndrew ◽  
Daniel Allington
Keyword(s):  
Public Health ◽  
Social Media ◽  
Evidence Base ◽  
Vaccine Hesitancy ◽  
Media Consumption ◽  
Political Values ◽  
Significant Difference ◽  
Information Updates ◽  
The Uk ◽  
British Sample

The effect of social media consumption on perceptions of the seriousness of the Covid-19 pandemic, attitudes to public health requirements, and intentions towards a future Covid-19 vaccine are of live public health interest. There are also public health and security concerns that the pandemic has been accompanied and arguably further amplified by an ‘infodemic’ spreading misinformation. Tests of the effect of social media consumption on future Covid-19 vaccine intentions using population samples have been relatively few to date. This study contributes to the evidence base by examining social media consumption and vaccine intentions using British and US population samples.Methods: Data were gathered on 1,663 GB adults and 1,198 US adults from an online panel on attitudes towards a future vaccine alongside self-reported social and legacy broadcast and print media consumption. Ordered and binomial logit models were used to assess reported intentions regarding a future Covid-19 vaccine, testing the effects of media consumption type. Respondents were categorised in terms of their media consumption using a fourfold typology, as less frequent social, less frequent legacy media consumers (low-low); high social, low legacy media consumers (high-low); low social, high legacy (low-high); and high social, high legacy (high-high).Results: In the British sample, regression results indicate that those who receive Covid-19 updates more frequently via legacy media (low-high), and those being updated more than daily via both online and legacy media consumers, tend to provide significantly less Covid-19 vaccine-hesitant responses than low-low consumers. There is no significant difference between high social, low legacy media consumers and low-low consumers. In the US sample, membership of the low-high group is associated with lower Covid-19 vaccine hesitancy compared with low-low consumers. However, respondents consuming both social and legacy media several times daily exhibit similar vaccine intentions on average to those consuming social media daily and legacy media less often, providing a contrast with the UK sample. We also identify differences in Covid-19 vaccine intentions relating to demographics and political values.Conclusions: Differences in vaccine attentions are associated with the extent and balance of consumption of news relating to Covid-19 and its source. Political values and ethnic identity also appear to structure attitudes to a future Covid-19 vaccine.

scholarly journals IMPACT OF NIGERIA SOCIAL MEDIA INFLUENCERS ON THEIR FOLLOWERS IN ONLINE COMMUNITY

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Olatilewa Olaojo
Keyword(s):  
Social Media ◽  
Personality Traits ◽  
Online Community ◽  
Communication Strategy ◽  
Social Characteristics ◽  
Online Social Media ◽  
Significant Difference ◽  
Communication Ability ◽  
The Difference ◽  
The Impact

The main aim of this research was to investigate the Nigerian influencers and their influence on their followers in an online community – Twitter. The study adopted a mixed method comprising of online social media followers and a content analysis of influencers’ posts across three themes of interest: marketing, political and advocacy. The specific objectives of the study were to: (i) determine whether influencers with high personality attributes exert more significant influence on their followers than those with low personality traits; (ii) determine whether influencers with high personality traits and social characteristics have more significant reliability and thus exert greater influence on their followers than those with lower personality traits, social attributes and lower credibility; (iii) examine if there is a significant relationship between influencers’ communication ability and the impact they have on their followers; and (iv) examine the difference between the level of impact that political influencers have on their followers than marketing influencers. Data were analyzed using descriptive and inferential statistics at 0.05 significance. The findings of the study were that: (i) the frequently used communication strategy employed by the influencers is informative (6, 42.9%) to influence their followers; (ii) personality attributes of all categories of influencers had a significant effect on the extent of influence their online activities exert on their followers; and there was no significant difference between the level of impact political influencers had on their followers compared to what marketing influencers had on theirs. The study therefore recommended that media literacy among youths should be enhanced to increase their capacity for following influencers reasonably.

scholarly journals The Value of a Twitter-based Community of Practice for Pharmacy Professionals in the UK

2016 ◽  
Vol 7 (4) ◽  
Author(s):  
James Andrews
Keyword(s):  
Social Media ◽  
Patient Care ◽  
Community Of Practice ◽  
Media Use ◽  
Community Resources ◽  
Community Members ◽  
Shared Learning ◽  
The Core ◽  
Online Social Media ◽  
The Uk

As a means to work across settings and geography, @WePharmacists is a volunteer-led online social-media group open to anyone, with particular relevance to those operating in or with pharmacy teams in the UK. The goal of WePharmacists is to pursue better patient care and outcomes from medicines through shared learning and a connected pharmacy team. The core offering is facilitated tweet chats, on topics suggested by the community. Resources to aid members in connecting with others, finding information and using technology have been developed, along with materials to help members recognize the learning that occurs with social media use. Community members report the value of feeling part of a wider community, along with the benefit of learning from one another.   Type: Commentary

scholarly journals Using Data Mining Techniques to Analyze the Customers Reaction towards Social Media Advertisements

2019 ◽  
Vol 8 (2) ◽  
pp. 1139-1143
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Support Vector Machine ◽  
Nearest Neighbors ◽  
Support Vector ◽  
Classification Algorithms ◽  
Bayes Classifier ◽  
K Nearest Neighbors ◽  
Online Social Media ◽  
Using Data

As social media is in boom, it is becoming very easier for customers to share their views and comments and express their feelings regarding any products which are present in online social media. . If these data can be analyzed efficiently different suggestions can be provided to the company regarding to improvise their products sale. It becomes easier for the company to understand the customer’s reaction after seeing the advertisements of the products posted on social media. This research focuses on analyzing the sentiments of customers based on the comments and reviews of products available in Facebook. Sentimental Analysis is performed to analyze the customer comments as positive, negative and neutral and later they are labeled as 0 or 1. After the labeling process, a comparative analysis is performed using different classification algorithms. The classification algorithms used are K Nearest Neighbors (KNN), Support Vector Machine (SVM) and Naïve Bayes Classifier. The classification algorithm with the highest accuracy is identified to predict the sales of online products

Sign in / Sign up

Export Citation Format

Share Document