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Dr. Andrei Kirilenko
Department of Tourism, Hospitality & Event Management, University of Florida, Gainesville, United States

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Research Keywords & Expertise

0 Sustainability,
0 Climate changes impacts on people and environment
0 Resilience,
0 Adaptation to climate change impacts
0 Social networks and mass media data mining

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Journal article
Published: 13 October 2020 in Tourism Management
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Automated content analysis of online travel reviews allows identification of topics of travelers' satisfaction, yet its domain is not well researched. We suggest that the Anna Karenina principle positing a greater variability of the factors leading to business failure as opposed to those leading to success can be applied to the domain of visitors’ reviews of historic and cultural attractions. The larger variability of issues in reviews of dissatisfied visitors is likely to result in limitations for automated topic modeling. We confirm our proposition using TripAdvisor reviews of the Terracotta Army museum in China, and validate the outcome with two additional sites. The study strongly suggests that application of unsupervised topic mining algorithms to negative reviews may be problematic and the results should be treated with caution. The main themes of dissatisfaction of visitors to all three sites are reported and practical implications for management of the attractions are discussed.

ACS Style

Andrei P. Kirilenko; Svetlana O. Stepchenkova; Xiangyi Dai. Automated topic modeling of tourist reviews: Does the Anna Karenina principle apply? Tourism Management 2020, 83, 104241 .

AMA Style

Andrei P. Kirilenko, Svetlana O. Stepchenkova, Xiangyi Dai. Automated topic modeling of tourist reviews: Does the Anna Karenina principle apply? Tourism Management. 2020; 83 ():104241.

Chicago/Turabian Style

Andrei P. Kirilenko; Svetlana O. Stepchenkova; Xiangyi Dai. 2020. "Automated topic modeling of tourist reviews: Does the Anna Karenina principle apply?" Tourism Management 83, no. : 104241.

Journal article
Published: 19 February 2020 in Tourism Management
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The crucial role of sensory dimensions in customer experiences has been supported in literature. However, traditional self-reported sensory measurements have limited capacity in capturing the multi-dimensional experiences sensed by individuals and articulating the distinct effect of different sensory dimensions on actual behavior. This study is the first attempt to test the effects of positive and negative experiences involving all five senses (sight, smell, sound, taste, and touch) on customer ratings. The sensory experiences reported in social media reviews were captured and explored using text mining and sentiment analysis. The findings show that although the majority of customers’ experiences were positive, the negative sensory experiences had higher effect on customer rating. Furthermore, the five senses had different weights in forming overall experience, which provides theoretical contributions to the literature on sensescapes, prospect theory, and discourses on satisfiers and dissatisfiers.

ACS Style

Fuad Mehraliyev; Andrei P. Kirilenko; Youngjoon Choi. From measurement scale to sentiment scale: Examining the effect of sensory experiences on online review rating behavior. Tourism Management 2020, 79, 104096 .

AMA Style

Fuad Mehraliyev, Andrei P. Kirilenko, Youngjoon Choi. From measurement scale to sentiment scale: Examining the effect of sensory experiences on online review rating behavior. Tourism Management. 2020; 79 ():104096.

Chicago/Turabian Style

Fuad Mehraliyev; Andrei P. Kirilenko; Youngjoon Choi. 2020. "From measurement scale to sentiment scale: Examining the effect of sensory experiences on online review rating behavior." Tourism Management 79, no. : 104096.

Journal article
Published: 07 January 2020 in Tourism Management Perspectives
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This experimental study addresses the effect of a destination promotional video on tourists' perceptions, attitudes, and intent to visit that destination depending on the viewing mode of the video: traditional versus semi-immersive. Two approaches were used to examine this effect: self-reported cognitive evaluations obtained via questionnaires and psychophysiological measures such as galvanic skin response (GSR) and heart rate. The context of this study was the country of Bahrain. Fifty-eight people participated in the experiment and were randomly assigned to either traditional or semi-immersive group. The study found that the overall effect of the promotional video was quite large; however, the viewing mode was not a factor in the effect of the video. The study also found that psychophysiological measures and self-reported measures were not in complete agreement with each other. Both affective and cognitive appraisals were responsible for the posttest change in participants' perceptions and overall attitude toward the destination.

ACS Style

Rafael Guerrero-Rodríguez; Svetlana Stepchenkova; Andrei Kirilenko. Experimental investigation of the impact of a destination promotional video with physiological and self-reported measures. Tourism Management Perspectives 2020, 33, 100625 .

AMA Style

Rafael Guerrero-Rodríguez, Svetlana Stepchenkova, Andrei Kirilenko. Experimental investigation of the impact of a destination promotional video with physiological and self-reported measures. Tourism Management Perspectives. 2020; 33 ():100625.

Chicago/Turabian Style

Rafael Guerrero-Rodríguez; Svetlana Stepchenkova; Andrei Kirilenko. 2020. "Experimental investigation of the impact of a destination promotional video with physiological and self-reported measures." Tourism Management Perspectives 33, no. : 100625.

Journal article
Published: 29 November 2019 in International Journal of Tourism Cities
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Purpose The purpose of this paper is to investigate the drivers of visitation intention, including demographic, psychographic (animosity, national attachment and consumer ethnocentrism) and image factors on tourist decision-making in a situation of bilateral conflict between the destination country and the source country, that is, the USA and Russia, respectively. Design/methodology/approach The data were collected at two different points in time from two different samples but analyzed with the same research question in mind. To increase the robustness and validity of findings, three analytical approaches from the repertoire of statistics and data mining techniques such as hierarchical linear regression, logistic regression and decision tree analysis were applied to two independent samples of tourists with different demographic profiles. This multiple methods research employs a complementary design, as methods used have equal importance and are applied concurrently. Findings The paper obtained generally consistent results across methods and samples: general animosity, destination image and country image are the most influential factors in the tourists’ decision-making to visit a destination country with which their own country has strained bilateral relations. Practical implications Destination image is highly important in all analyses and is more favorable than country image. It indicates some degree of separation of the two images in the respondents’ mind, which indicates that marketing a country as a tourist destination on a not-so-friendly tourism market may still be effective. Results also tentatively indicate that for young adults, patriotic feelings matter more in their decision-making, while for more mature tourists, ethnocentric tendencies play a more important role. Originality/value The paper examines the influence of general and situational animosity, national attachment, and consumer ethnocentrism on visitation intentions in a situation of conflict between the two nations and, thus, expands the empirical evidence accumulated to date on tourist behavior in conflict. The paper acts on the premise that if a connection between any two variables truly exists, it should be able to withstand variations in samples, timing of data collection and measurement, thus, leading to more robust findings.

ACS Style

Svetlana Stepchenkova; Andrei P. Kirilenko; Elena Shichkova. Influential factors for intention to visit an adversarial nation: increasing robustness and validity of findings. International Journal of Tourism Cities 2019, 5, 491 -510.

AMA Style

Svetlana Stepchenkova, Andrei P. Kirilenko, Elena Shichkova. Influential factors for intention to visit an adversarial nation: increasing robustness and validity of findings. International Journal of Tourism Cities. 2019; 5 (3):491-510.

Chicago/Turabian Style

Svetlana Stepchenkova; Andrei P. Kirilenko; Elena Shichkova. 2019. "Influential factors for intention to visit an adversarial nation: increasing robustness and validity of findings." International Journal of Tourism Cities 5, no. 3: 491-510.

Journal article
Published: 06 November 2019 in Tourism Management
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This study puts to empirical test a major typology in the tourism literature, mass versus special interest tourism (SIT), as the once-distinctive boundary between the two has become blurry in modern tourism scholarship. We utilize 41,747 geo-located Instagram photos pertaining to the 2017 Great American Solar Eclipse and Big Data analytics to distinguish tourists based on their choice of observational destinations and spatial movement patterns. Two types of tourists are identified: opportunists and hardcore. The motivational profile of those tourists is validated with the external data through hypothesis testing and compared with and contrasted against existing motivation-based tourist typologies. The main conclusion is that large share of tourists involved in what is traditionally understood as SIT activities exhibit behavior and profile characteristic of mass tourists seeking novelty but conscious about risks and comforts. Practical implications regarding the potential of rural and urban destinations for developing SIT tourism are also discussed.

ACS Style

Shihan (David) Ma; Andrei P. Kirilenko; Svetlana Stepchenkova. Special interest tourism is not so special after all: Big data evidence from the 2017 Great American Solar Eclipse. Tourism Management 2019, 77, 104021 .

AMA Style

Shihan (David) Ma, Andrei P. Kirilenko, Svetlana Stepchenkova. Special interest tourism is not so special after all: Big data evidence from the 2017 Great American Solar Eclipse. Tourism Management. 2019; 77 ():104021.

Chicago/Turabian Style

Shihan (David) Ma; Andrei P. Kirilenko; Svetlana Stepchenkova. 2019. "Special interest tourism is not so special after all: Big data evidence from the 2017 Great American Solar Eclipse." Tourism Management 77, no. : 104021.

Research note
Published: 31 October 2019 in Tourism Recreation Research
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Managers of protected areas that are popular among tourists need to combine conservation goals with assurances of visitor safety while providing high-quality service. The compromise amongst these goals is reflected in the protected area regulations; however, monitoring of compliance with these regulations is costly and laborious. Social media present a new opportunity to observe visitor behaviour patterns in an unobtrusive and inexpensive manner. We propose a method of using online tourist photographs to monitor unwanted behaviours of the natural area visitors. The specific research object was the Greater Kruger National Park (GKNP) in South Africa, which is one of the largest game parks worldwide. We found that approximately 7% of the photographs depict instances of potentially unwanted behaviour. The results also indicate that the types of unwanted behaviours differ between the federally and privately owned parks, although the overall percentage of unwanted behaviours in the two types of parks is similar.

ACS Style

Yun Liang; Andrei P. Kirilenko; Svetlana O. Stepchenkova; Shihan (David) Ma. Using social media to discover unwanted behaviours displayed by visitors to nature parks: comparisons of nationally and privately owned parks in the Greater Kruger National Park, South Africa. Tourism Recreation Research 2019, 45, 271 -276.

AMA Style

Yun Liang, Andrei P. Kirilenko, Svetlana O. Stepchenkova, Shihan (David) Ma. Using social media to discover unwanted behaviours displayed by visitors to nature parks: comparisons of nationally and privately owned parks in the Greater Kruger National Park, South Africa. Tourism Recreation Research. 2019; 45 (2):271-276.

Chicago/Turabian Style

Yun Liang; Andrei P. Kirilenko; Svetlana O. Stepchenkova; Shihan (David) Ma. 2019. "Using social media to discover unwanted behaviours displayed by visitors to nature parks: comparisons of nationally and privately owned parks in the Greater Kruger National Park, South Africa." Tourism Recreation Research 45, no. 2: 271-276.

Research article
Published: 24 October 2019 in Journal of Travel Research
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This study expands the empirical evidence amassed to date concerning tourists’ decision-making processes in a situation of conflict between a country of origin’s market and country of destination. It uses the constructs of animosity, national attachment, consumer ethnocentrism, country image, and perceptions of the state of bilateral relations in order to examine three intent to visit scenarios. To obtain the robust results, the study uses two methods of analysis from distinctly different repertoires of techniques, such as traditional statistical and data-mining approaches, and applies them to each scenario. The results consistently indicate a high level of influence of general animosity and ethnocentric tendencies in addition to country image and bilateral relation variables in tourists’ decision making. The situational context of the study is the conflict between China, the country of origin, and South Korea, the country of destination, over the Terminal High Altitude Area Defense (THAAD) system.

ACS Style

Svetlana Stepchenkova; Xiangyi Dai; Andrei P. Kirilenko; Lijuan Su. The Influence of Animosity, Ethnocentric Tendencies, and National Attachment on Tourists’ Decision-Making Processes during International Conflicts. Journal of Travel Research 2019, 59, 1370 -1385.

AMA Style

Svetlana Stepchenkova, Xiangyi Dai, Andrei P. Kirilenko, Lijuan Su. The Influence of Animosity, Ethnocentric Tendencies, and National Attachment on Tourists’ Decision-Making Processes during International Conflicts. Journal of Travel Research. 2019; 59 (8):1370-1385.

Chicago/Turabian Style

Svetlana Stepchenkova; Xiangyi Dai; Andrei P. Kirilenko; Lijuan Su. 2019. "The Influence of Animosity, Ethnocentric Tendencies, and National Attachment on Tourists’ Decision-Making Processes during International Conflicts." Journal of Travel Research 59, no. 8: 1370-1385.

Research article
Published: 05 April 2019 in Journal of Travel Research
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Tourism is one of the sectors of the economy that is most dependent on climate, creating multiple vulnerabilities and new opportunities arising with changing climate. Even though the links between tourism and climate have been well researched, this scientific knowledge has not percolated into policies and the ability to act. This disconnect between scientific knowledge and practices is frequently blamed on inadequate climate change communication to the public in mass media. We studied the mass media framing of climate change and tourism by analyzing English newspaper publications worldwide over the past 30 years. The paper presents a Big Data analysis of the content, geographical patterns, and temporal changes in newspapers’ publications on climate change and tourism.

ACS Style

Shihan (David) Ma; Andrei P. Kirilenko. Climate Change and Tourism in English-Language Newspaper Publications. Journal of Travel Research 2019, 59, 352 -366.

AMA Style

Shihan (David) Ma, Andrei P. Kirilenko. Climate Change and Tourism in English-Language Newspaper Publications. Journal of Travel Research. 2019; 59 (2):352-366.

Chicago/Turabian Style

Shihan (David) Ma; Andrei P. Kirilenko. 2019. "Climate Change and Tourism in English-Language Newspaper Publications." Journal of Travel Research 59, no. 2: 352-366.

Journal article
Published: 22 January 2019 in Environmental Science & Policy
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Flood control is one of the most important ecosystem services provided by wetlands. Large-scale loss of wetlands, combined with more intensive precipitation under changing climate, increases flood risks, to which closed watersheds are particularly susceptible. In the Devils Lake (North Dakota, USA) watershed, a prolonged wet condition since early 1990s has caused a nearly 10 m rise in water level, resulting in over $1 billion losses. While studies have shown the changing climate is the major driver of this flooding, it is still unclear how much contribution could be due to the historical conversion of wetlands in the upper basin. We developed a Soil and Water Assessment Tool (SWAT) model for the Devils Lake watershed and simulated various scenarios representing present and possible past and future wetland area. We estimated the changes in flood risks under the historical and CMIP-5 future climates with these wetland scenarios. We found that while currently wetland restoration does not significantly change flood risks, under the modified climate it presents a good complementary measure reducing the negative impacts of current flood management strategies.

ACS Style

Sergey Gulbin; Andrei P. Kirilenko; Gehendra Kharel; Xiaodong Zhang. Wetland loss impact on long term flood risks in a closed watershed. Environmental Science & Policy 2019, 94, 112 -122.

AMA Style

Sergey Gulbin, Andrei P. Kirilenko, Gehendra Kharel, Xiaodong Zhang. Wetland loss impact on long term flood risks in a closed watershed. Environmental Science & Policy. 2019; 94 ():112-122.

Chicago/Turabian Style

Sergey Gulbin; Andrei P. Kirilenko; Gehendra Kharel; Xiaodong Zhang. 2019. "Wetland loss impact on long term flood risks in a closed watershed." Environmental Science & Policy 94, no. : 112-122.

Journal article
Published: 19 January 2019 in Tourism Management
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The study examines the online public response to a high visibility incident of service failure from the crisis communication and image restoration perspectives. A specific incident in a hotel of a popular chain in Beijing, China, which was widely publicized on Chinese social network Weibo, is used as an example. Applying data mining and GIS to the collected data, the study analyzes temporal, spatial, topical, and gender dynamics of public discussions to investigate the usefulness of such data for hospitality providers in crisis. The study finds evidence that the effect of the incident on the general public is moderated by spatial and personal proximity of Weibo users. The discussion topics reflect the nature of the crisis and are affected by communications from the service provider and third parties. Implications for providers of tourism and hospitality services in a crisis of high visibility are discussed.

ACS Style

Lijuan Su; Svetlana Stepchenkova; Andrei P. Kirilenko. Online public response to a service failure incident: Implications for crisis communications. Tourism Management 2019, 73, 1 -12.

AMA Style

Lijuan Su, Svetlana Stepchenkova, Andrei P. Kirilenko. Online public response to a service failure incident: Implications for crisis communications. Tourism Management. 2019; 73 ():1-12.

Chicago/Turabian Style

Lijuan Su; Svetlana Stepchenkova; Andrei P. Kirilenko. 2019. "Online public response to a service failure incident: Implications for crisis communications." Tourism Management 73, no. : 1-12.

Journal article
Published: 14 January 2019 in Tourism Management
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In this paper we address the problem of clustering tourist attractions according to the tourists' interests that these attractions serve. With growing diversity of tourist interests, there is a new understanding of tourist clustering as formed by multiple proximity metrics with the social distance of the tourists playing a role similar to geographical distance. The study clusters Florida's destination attractions according to the visitation patterns of tourists from different origin markets: Floridians, out-of-state US visitors, and international travelers. Online reviews of attractions served as the proxy data for actual visitations. The study employs network analysis, spatial analysis, and geo-visualizations to deal with the data in the most comprehensive way. The same three attractions-interests clusters (Entertainment, Heritage, and Nature) emerged for each origin market. The similarities and differences in cluster composition and in how these clusters utilize attractions in the state of Florida are analyzed and discussed.

ACS Style

Andrei P. Kirilenko; Svetlana O. Stepchenkova; Juan M. Hernandez. Comparative clustering of destination attractions for different origin markets with network and spatial analyses of online reviews. Tourism Management 2019, 72, 400 -410.

AMA Style

Andrei P. Kirilenko, Svetlana O. Stepchenkova, Juan M. Hernandez. Comparative clustering of destination attractions for different origin markets with network and spatial analyses of online reviews. Tourism Management. 2019; 72 ():400-410.

Chicago/Turabian Style

Andrei P. Kirilenko; Svetlana O. Stepchenkova; Juan M. Hernandez. 2019. "Comparative clustering of destination attractions for different origin markets with network and spatial analyses of online reviews." Tourism Management 72, no. : 400-410.

Research article
Published: 02 November 2018 in PLOS ONE
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This paper uses text data mining to identify long-term developments in tourism academic research from the perspectives of thematic focus, geography, and gender of tourism authorship. Abstracts of papers published in the period of 1970–2017 in high-ranking tourist journals were extracted from the Scopus database and served as data source for the analysis. Fourteen subject areas were identified using the Latent Dirichlet Allocation (LDA) text mining approach. LDA integrated with GIS information allowed to obtain geography distribution and trends of scholarly output, while probabilistic methods of gender identification based on social network data mining were used to track gender dynamics with sufficient confidence. The findings indicate that, while all 14 topics have been prominent from the inception of tourism studies to the present day, the geography of scholarship has notably expanded and the share of female authorship has increased through time and currently almost equals that of male authorship.

ACS Style

Andrei P. Kirilenko; Svetlana Stepchenkova. Tourism research from its inception to present day: Subject area, geography, and gender distributions. PLOS ONE 2018, 13, e0206820 .

AMA Style

Andrei P. Kirilenko, Svetlana Stepchenkova. Tourism research from its inception to present day: Subject area, geography, and gender distributions. PLOS ONE. 2018; 13 (11):e0206820.

Chicago/Turabian Style

Andrei P. Kirilenko; Svetlana Stepchenkova. 2018. "Tourism research from its inception to present day: Subject area, geography, and gender distributions." PLOS ONE 13, no. 11: e0206820.

Journal article
Published: 19 September 2018 in Annals of Tourism Research
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The study contributes to the tourism literature by demonstrating an approach to segmenting tourists using network analysis with user-generated content. Online reviews of destination attractions are considered as a proxy for visitation data reflective of tourists’ interests. The connectivity between attractions is represented with a network of links created by tourists visiting and reviewing multiple attractions. Attraction clusters are revealed by segmenting this network using network analysis tools. Two segmentation solutions are provided: a posteriori, in which only review information is taken into account, and mixed, in which tourist groups are defined a priori by their travel interests and age, and this information is combined with visitation information. The findings are validated using geovisualization and by comparing them with randomly simulated models.

ACS Style

Juan M. Hernández; Andrei P. Kirilenko; Svetlana Stepchenkova. Network approach to tourist segmentation via user generated content. Annals of Tourism Research 2018, 73, 35 -47.

AMA Style

Juan M. Hernández, Andrei P. Kirilenko, Svetlana Stepchenkova. Network approach to tourist segmentation via user generated content. Annals of Tourism Research. 2018; 73 ():35-47.

Chicago/Turabian Style

Juan M. Hernández; Andrei P. Kirilenko; Svetlana Stepchenkova. 2018. "Network approach to tourist segmentation via user generated content." Annals of Tourism Research 73, no. : 35-47.

Book review
Published: 29 March 2018 in Journal of Urban Affairs
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ACS Style

Andrei Kirilenko. Urban social listening, potential and pitfalls for using microblogging data in studying cities, by Justin B. Hollander, Erin Graves, Henry Renski, Cara Foster-Karim, Andrew Wiley, and Dibyendu Das. Journal of Urban Affairs 2018, 40, 1 -2.

AMA Style

Andrei Kirilenko. Urban social listening, potential and pitfalls for using microblogging data in studying cities, by Justin B. Hollander, Erin Graves, Henry Renski, Cara Foster-Karim, Andrew Wiley, and Dibyendu Das. Journal of Urban Affairs. 2018; 40 (8):1-2.

Chicago/Turabian Style

Andrei Kirilenko. 2018. "Urban social listening, potential and pitfalls for using microblogging data in studying cities, by Justin B. Hollander, Erin Graves, Henry Renski, Cara Foster-Karim, Andrew Wiley, and Dibyendu Das." Journal of Urban Affairs 40, no. 8: 1-2.

Journal article
Published: 03 November 2017 in Sustainability
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Web based crowdsourcing has become an important method of environmental data processing. Two alternatives are widely used today by researchers in various fields: paid data processing mediated by for-profit businesses such as Amazon’s Mechanical Turk, and volunteer data processing conducted by amateur citizen-scientists. While the first option delivers results much faster, it is not quite clear how it compares with volunteer processing in terms of quality. This study compares volunteer and paid processing of social media data originating from climate change discussions on Twitter. The same sample of Twitter messages discussing climate change was offered for processing to the volunteer workers through the Climate Tweet project, and to the paid workers through the Amazon MTurk platform. We found that paid crowdsourcing required the employment of a high redundancy data processing design to obtain quality that was comparable with volunteered processing. Among the methods applied to improve data processing accuracy, limiting the geographical locations of the paid workers appeared the most productive. Conversely, we did not find significant geographical differences in the accuracy of data processed by volunteer workers. We suggest that the main driver of the found pattern is the differences in familiarity of the paid workers with the research topic.

ACS Style

Andrei P. Kirilenko; Travis Desell; Hany Kim; Svetlana Stepchenkova. Crowdsourcing Analysis of Twitter Data on Climate Change: Paid Workers vs. Volunteers. Sustainability 2017, 9, 2019 .

AMA Style

Andrei P. Kirilenko, Travis Desell, Hany Kim, Svetlana Stepchenkova. Crowdsourcing Analysis of Twitter Data on Climate Change: Paid Workers vs. Volunteers. Sustainability. 2017; 9 (11):2019.

Chicago/Turabian Style

Andrei P. Kirilenko; Travis Desell; Hany Kim; Svetlana Stepchenkova. 2017. "Crowdsourcing Analysis of Twitter Data on Climate Change: Paid Workers vs. Volunteers." Sustainability 9, no. 11: 2019.

Research article
Published: 15 October 2017 in Journal of Travel Research
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Interest in applying Big Data to tourism is increasing, and automated sentiment analysis has been used to extract public opinion from various sources. This article evaluates the suitability of different types of automated classifiers for applications typical in tourism, hospitality, and marketing studies by comparing their performance to that of human raters. While the commonly used performance indices suggest that on easier-to-classify data sets machine learning methods demonstrate performance comparable to that by human raters, other performance measures such as Cohen’s kappa show that the results of machine learning are still inferior to manual processing. On more difficult and noisy data sets, automated analysis has poorer performance than human raters. The article discusses issues pertinent to selection of appropriate sentiment analysis software and offers a word of caution against using automated classifiers uncritically.

ACS Style

Andrei P. Kirilenko; Svetlana O. Stepchenkova; Hany Kim; Xiang (Robert) Li. Automated Sentiment Analysis in Tourism: Comparison of Approaches. Journal of Travel Research 2017, 57, 1012 -1025.

AMA Style

Andrei P. Kirilenko, Svetlana O. Stepchenkova, Hany Kim, Xiang (Robert) Li. Automated Sentiment Analysis in Tourism: Comparison of Approaches. Journal of Travel Research. 2017; 57 (8):1012-1025.

Chicago/Turabian Style

Andrei P. Kirilenko; Svetlana O. Stepchenkova; Hany Kim; Xiang (Robert) Li. 2017. "Automated Sentiment Analysis in Tourism: Comparison of Approaches." Journal of Travel Research 57, no. 8: 1012-1025.

Data article
Published: 27 June 2017 in Data in Brief
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Presented data is related to the research article “Sochi 2014 Olympics on Twitter: Perspectives of Hosts and Guests” [2]. The data were collected through regular API Twitter search for five months windowing 2014 Sochi Olympic Games and further used for cluster analysis and analysis of the sentiment on the Games. The main dataset contains 616 thousand tweets, rigorously cleaned and filtered to remove irrelevant content. To comply with the Twitter API user agreement, the dataset presented in this article includes only generalized daily data with all information contained in individual tweets removed. The proposed use of the dataset is academic research of changing discussion on the topics related to Mega-events in conjunction with political events.

ACS Style

Andrei P. Kirilenko. Data for Sochi 2014 Olympics discussion on social media. Data in Brief 2017, 13, 605 -608.

AMA Style

Andrei P. Kirilenko. Data for Sochi 2014 Olympics discussion on social media. Data in Brief. 2017; 13 ():605-608.

Chicago/Turabian Style

Andrei P. Kirilenko. 2017. "Data for Sochi 2014 Olympics discussion on social media." Data in Brief 13, no. : 605-608.

Journal article
Published: 10 June 2017 in Tourism Management
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Mega sports events create multiple benefits for the host country but can also bring into focus the political and social problems. This study provides a comprehensive description of the public discourse about Sochi 2014 Winter Olympics on Twitter in two languages, Russian and English. The former represents the perspective of hosts and the latter – that of the guests. The study traces the temporal dynamics of the most salient issues and conducts sentiment analysis of public attitudes. It also examines whether sentiments toward the Games changed as the event unfolded, that is, whether the event succeeded in creating a more positive image of the Games. It was found that while the positive attitudes expressed in the tweets about the Sochi Olympics improved throughout the course of the Games, this improvement was practically significant only for the hosts' segment of the sample, with much smaller improvement in the guests’ segment.

ACS Style

Andrei P. Kirilenko; Svetlana O. Stepchenkova. Sochi 2014 Olympics on Twitter: Perspectives of hosts and guests. Tourism Management 2017, 63, 54 -65.

AMA Style

Andrei P. Kirilenko, Svetlana O. Stepchenkova. Sochi 2014 Olympics on Twitter: Perspectives of hosts and guests. Tourism Management. 2017; 63 ():54-65.

Chicago/Turabian Style

Andrei P. Kirilenko; Svetlana O. Stepchenkova. 2017. "Sochi 2014 Olympics on Twitter: Perspectives of hosts and guests." Tourism Management 63, no. : 54-65.

Book chapter
Published: 13 October 2016 in Collaborative Economy and Tourism
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A successful destination must be favorably positioned in the public mind. Mega-sporting events are an integral part of destination marketing because they attract worldwide visibility and publicity, provide a nucleus for a positively framed public discourse, and have the potential to improve attitudes toward countries and the destinations within them. This study investigates how the Sochi Olympics were portrayed on Twitter by hosts and guests. The study addresses the following questions: What is the geographic landscape of Twitter messages about the Sochi Olympics? What issues were the most salient before, during, and after the games? What are the temporal dynamics of issues concerning the Sochi Olympics? The chapter illustrates an analytical approach to extracting topical, spatial, and temporal information from Twitter messages.

ACS Style

Andrei P. Kirilenko; Svetlana O. Stepchenkova. Sochi Olympics on Twitter: Topics, Geographical Landscape, and Temporal Dynamics. Collaborative Economy and Tourism 2016, 215 -234.

AMA Style

Andrei P. Kirilenko, Svetlana O. Stepchenkova. Sochi Olympics on Twitter: Topics, Geographical Landscape, and Temporal Dynamics. Collaborative Economy and Tourism. 2016; ():215-234.

Chicago/Turabian Style

Andrei P. Kirilenko; Svetlana O. Stepchenkova. 2016. "Sochi Olympics on Twitter: Topics, Geographical Landscape, and Temporal Dynamics." Collaborative Economy and Tourism , no. : 215-234.

Journal article
Published: 23 April 2016 in Regional Environmental Change
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The combined effects of climate and land-use change have changed both the hydrology and management of endorheic watersheds globally. Devils Lake (DL), North Dakota, USA, has risen nearly 10 m since 1991, resulting in a costly, lengthy and litigious water management issue in the region. With more than 1 billion US dollars already spent in mitigation, DL is less than 2 m from its uncontrolled overspill to the nearby Sheyenne River, which could lead to mounting economic, environmental and social costs. While previous studies have generally attributed the changes in the hydrology of DL to the current wet spell, the impacts of land-use changes have not been investigated. Using a hydrological model, here we develop four land-use alternatives driven by market and policy conditions in the DL watershed and investigate their effects on DL hydrology and overspill probability under historic and changed climates. Land-use scenarios under an ensemble of statistically downscaled general circulation model projections indicate a higher overspill risk (7.4–17.0 vs. 0–2 %) under historical climate. Incentivized grass and alfalfa scenarios were able to moderate the hydrological implications to DL under a changed climate, indicating their potential companion roles in DL flood mitigation strategies.

ACS Style

Gehendra Kharel; Haochi Zheng; Andrei Kirilenko. Can land-use change mitigate long-term flood risks in the Prairie Pothole Region? The case of Devils Lake, North Dakota, USA. Regional Environmental Change 2016, 16, 2443 -2456.

AMA Style

Gehendra Kharel, Haochi Zheng, Andrei Kirilenko. Can land-use change mitigate long-term flood risks in the Prairie Pothole Region? The case of Devils Lake, North Dakota, USA. Regional Environmental Change. 2016; 16 (8):2443-2456.

Chicago/Turabian Style

Gehendra Kharel; Haochi Zheng; Andrei Kirilenko. 2016. "Can land-use change mitigate long-term flood risks in the Prairie Pothole Region? The case of Devils Lake, North Dakota, USA." Regional Environmental Change 16, no. 8: 2443-2456.