Online sustainability communication attracts a considerable attention in tourism research. This study focuses on sustainability communication in official destination websites for informing and motivating visitors to adopt sustainable practices and behaviors. To advance previous research in this area, it adopts a web content mining approach to assess the characteristics of online contents of a sample of 20 Italian cultural destinations. The main dimensions and typologies of sustainability-oriented practices in tourism are used as basis to develop a text classifier for the automated content analysis. A total of 2.975 web pages from official city websites and official tourism promotion websites of the destinations is analyzed through this approach to investigate the online contents relating to the environmental, economic, socio-cultural and general dimensions sustainability as well as their emotional appeal. The analysis reveals that about 15.8% of total online texts contains information to promote sustainability-oriented behaviors at the destination. It indicates that the communication is more specifically focused on environmental/economic/socio-cultural practices than generically referring to sustainable/responsible tourism. However, in line with previous research, it highlights that destinations do not sufficiently balance these pillars in their online communication. Further, the websites’ texts scarcely leverage the persuasive potential of affective appealing messages. The implications of this automated approach for improving the design of online sustainability-related contents are also discussed.
1 Introduction
One of the greatest challenges for sustainable tourism development is to encourage tourists to adopt sustainable behaviors in order to minimize the negative impacts of tourism on host communities, cultural heritage and the environment while providing its positive contribution to local economies [1‐3]. In this direction, destination marketing and communications tools can be used to influence tourists’ decision-making and purchasing behaviors for more sustainable choices and practices [4, 5]. As the first touchpoint with the destination [6], tourism destination websites represent an important source for sustainability communication to travelers [7]. Official destination websites primarily serve the goal of providing useful information to potential visitors and promoting their products and services [8] and can influence tourists’ behaviors by making them aware of destination’s sustainable policies and products and stimulating pro-sustainable choices, actions and practices at the destination [9‐11].
Although the topic of sustainability communication has been receiving an increasing attention in the last decade [7], there is still limited research on sustainability communication in official destination websites and further research is needed to advance the design of persuasive messages to engage visitors in sustainability behaviors [7, 11]. To contribute to fill this gap, this study aims to understand how to design effective sustainability messages for destinations online communication in order to promote visitors’ sustainable behaviors. With respect to research based on manual approaches, it adopts an automated approach for analyzing the communication provided by official destination websites to inform about and motivate sustainable choices and practices by visitors. The final aim is to develop a reliable tool to perform automated analysis of online texts that could facilitate systematic, large-scale and comparable analyses of online communications. Previous research introduced automated approaches and techniques from data mining domain as effective methods for analyzing and evaluating destination websites [12, 13]. Gill et al. [14] performed an automated content analysis of sustainability communication in corporate websites, considering economic, environmental, and social indicators, in conjunction with semantic analysis in order to investigate level and type of sustainability reporting across firms. Whereas web automated analysis may not be appropriate to evaluate the audience impact of sustainability communication [15], it presents several benefits by allowing to analyze thousands of online texts in a speedy and accurate way and to reduce subjective interpretation in coding [14].
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This study presents a web content mining analysis based on natural language processing (NLP) with a total set of 2.975 web pages by the official websites of the top 20 competitive Italian cultural destinations. The main dimensions and typologies of sustainability-oriented practices in tourism were used as basis to develop a text classifier for the automated analysis of sustainability-related contents in 39 official websites. Through emotional and sentiment analysis, the study also investigated the affective appeal of online sustainability-related contents as one of the main persuasive characteristics of communication identified by previous research. The paper presents the findings from the application of this automated approach and discusses its potential for measuring the effectiveness of official sustainability communication.
2 Related Work
Sustainability communication “sets out to make consumers aware of the availability of sustainable travel products, to inform consumers how these offerings meet their needs and comply with sustainability criteria, and ultimately to stimulate pro-sustainable purchases” [7, p. 10]. According to the recent literature review by Tölkes [7], tourism organizations’ websites are the most researched channels of sustainability communication. Smith and Font [15, 16] investigated the responsible tourism communication messages provided by volunteer tour operators. Through online content analysis, they analyze and score the organizations’ webpages across 19 responsibility criteria (including donations, local conservation, respect heritage, respect wild-life, etc.). Overall, there is a lack of responsible marketing practices which represents a crucial feature of sustainability communication. Based on the analysis of Malaysian hotels, Joseph et al. [17] found that websites are not fully utilized to create awareness about sustainable development and mostly report economic information, followed by social and environment sustainability information. In the same line, Santos et al. [18] show that only a minority of hotels in Portugal explicitly practice sustainability communication, but they do it in a quite superficial way and using a rational appeal. With reference small and medium accommodation firms in the Azores, Tiago et al. [19] concluded that digital communication could be substantially improved and is linked to website sophistication.
Previous research also highlights that tourism organizations do not fully utilize their websites to motivate customers to behave more sustainably. In particular, Villarino and Font [20, p. 326] denoted a “sustainability marketing myopia”, because communication tends to be mostly focused on products rather than on customers’ needs. They identified four dimensions of persuasiveness in sustainability communication: type of action (including theme and beneficiary), structure (explicit versus implicit, active versus passive and denotative versus connotative), content (appeal versus logic, social norms and level of experience) and authority. Based on the analysis of sustainability contents in accommodations’ websites, they highlighted the importance of communication specificity and the persuasive effects of emotional appealing and experiential messages to engage tourists in sustainable behaviors [20].
Literature in this area also investigated sustainability communication in official destinations’ websites, with particular emphasis on its role and effectiveness in encouraging sustainable behaviors by prospective travelers. Pennington-Gray and Thapa [21] analyzed the role of websites for promoting culturally responsible behaviors based on a manual content analysis; they found that only a small number of destinations provided information related to cultural responsibility, rules or guideline. Based on the five pillars identified by the Sustainable Tourism for Development Guidebook by UNWTO, Garbelli et al. [22] performed a content analysis of online resources relating to Victoria Falls World Heritage Site; results showed there is room to improve the online communication to educate prospective travelers to behave in a sustainable and responsible manner during their visit to this UNESCO site. D’Angella and De Carlo [10] investigated the relationship between the orientation to sustainability in destinations’ online communications and their strategic positioning. They proposed and applied Green D-web score and highlighted the importance of communication oriented to sustainability for destination competitiveness and for attracting new segments of environmentally sensitive tourists. A qualitative approach is adopted by Mura and Sharif [6] to perform a benchmarking of official websites of destinations in Southeast Asia. They stressed the important educative role of official websites for sustainability issues and recommended more content in this regard.
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Finally, Ghanem and Elgammal [11] developed an online sustainability communication checklist for a web content analysis of the top 50 competitive destinations. Their results indicated a lack of appropriate online approach to informing, motivating and engaging stakeholders in sustainability practices along with an unbalanced communication in relation to the three sustainability pillars. Based on their analysis, they call for more research to advance the design of effective online sustainability messages at destination level.
3 Research Methodology
This study adopted a web content mining approach to examine the characteristics of online contents provided by Italian destinations to inform and engage prospective visitors in sustainable practices. An automated approach is deemed to be useful to advance previous studies on sustainability that relied on manual web content analysis as well as to contribute to the development of reliable instruments for assessing the effectiveness of sustainability communication at destination level. In particular, the automated approach is used in this study to analyze contents communicated in official websites in relation to characteristics that the literature suggested may influence their persuasiveness. These include the communication of specific contents on topics relating to all the (environmental, economic, socio-cultural) sustainability dimensions [7, 11, 20] and the emotional appeal of contents [7, 18, 20].
3.1 Research Design
In the first stage of the research, literature was reviewed to identify a typology of sustainability dimensions and practices, which formed the basis for the development of a text classifier to be used for the analysis. The review also considered manuals and guidelines by international tourism organizations, including the Sustainable visitor tips by the World Monument Fund and the Responsible traveler tips by UNWTO. Further, the sample of destinations’ websites was identified. In detail, the analysis focused on the official websites of the top 20 Italian cultural destinations, which collectively accounted for about 80% of international arrivals (almost 47 million) and 75% of nights spent in accommodation (more than 121 million) in 2018 [23]. The destinations in this sample include Italian cities classified by Italian Institute of Statistics [24] as cultural destinations that have been presenting positive growth rates of tourist arrivals in 2018. This sample was deemed appropriate to explore online sustainability communication, also in consideration of the relevance of online communication for sustainability in relation to cultural heritage sites and destinations [22]. In the second stage, based on the keywords identified in the first stage a text classifier was created for the automated analysis of online sustainability-related contents. Finally, data collection and analysis were performed as detailed below.
3.2 Data Collection and Analysis
The study used two sources of online sustainability content provided by the 20 Italian destinations in our sample: i) official city websites (20); ii) official tourism promotion websites (19). In the first step, the researchers selected 39 web sites through a manual preliminary screening. Contents were then collected by using a web scraping procedure, which is a technique to extract data without the need of a user interaction [25]. It retrieved all texts and subpages directly accessible from web pages [26]. In order to focus the analysis on the main visible and accessible sustainable contents, the study excluded those not linked to the homepage. The web scraping procedure was performed using R software [27] on the 39 websites in Italian language during the period February–April 2020. In a first stage, 4.058 web pages were extracted. A pre-processing operation was carried out with the aim of deleting duplicated results and additional noise. The final database was composed of 2.975 web pages.
In the second step, the study adopted a content analysis technique to detect words related to sustainability practices and behavior in the online communications. For the purpose of the study, a dictionary to detect messages targeting visitors for promoting sustainable/responsible tourism was built. A semi-automatic dictionary was created following the proposed scheme of Deng et al. [28] in order to combine the researcher’s knowledge with the assistance of text analysis software (Fig. 1). Computational text analysis was performed using R, a statistical opensource software, which allows replicability. The corpus creation, which consists in the set of documents on which the dictionary is developed [28], was based on different textual contents identified: i) guidelines by international tourism organizations and scientific articles analyzed through a manual analysis; ii) web sites of the 20 Italian cultural destination manually analyzed in the preliminary phase; iii) 2.975 web pages of the 20 Italian cultural destination extracted using web scraping procedure and processed through an automated text analysis. Afterwards, a pre-processing operation was carried out with the aim of removing stop word, unnecessary information and reducing all words to lowercase. Moreover, the cut-off criteria were applied, based on term frequency that shows how certain concepts occur in the text. Later, the study focused on the identification of categories and categorizing entries. In line with previous research on sustainability and sustainability communication [11, 20] the researchers included the four following categories recognized as the main dimensions for sustainable tourism: economic, socio-cultural, environmental and general.
Fig. 1.
The semi-automatic dictionary building process (S-DBP) implemented to build a dictionary on sustainable tourism following the design scheme proposed by Deng et al. [28].
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Keywords identified consist in word lists, without term overlaps between the four sustainability dimensions, composed by unigram, bigram and trigram. Researchers manually reviewed the words and phrases emerging from each category. Synonym words were manually detected and included in the dictionary. This step generated new words. For example in the economic category were included also terms like ‘Km0’ to indicate farmers markets. The validation method of the dictionary considered the Keyword-in-context (KWIC) Indexing. KWIC is an automatic system that allows to search a particular keyword in the text and analyze its local meaning in relation to a number of words immediately preceding and following it [29]. It was performed using the R package called ‘Quanteda’ for managing and analyzing text [30]. The final sustainable dictionary was composed of 124 sustainable keywords.
In the third step, a preliminary sentiment analysis was carried out to understand the characteristics of contents published online to promote sustainable practices by the Italian destinations. The study adopted the OpenNER Sentiment Lexicon developed in six languages [31], including Italian, thus allowing an applicability of the analysis even on a sample in different languages. The research applied the Italian Sentiment Lexicon, which allows to analyze the sentiment polarity classification (positive, negative and neutral).
Further, the study developed an ad-hoc emotional dictionary with the aim to explore more in-depth the affective appeal of sustainability-related contents. This dictionary includes emotional and experiential keywords identified through a preliminary manual text analysis and an automated text analysis. The words in this dictionary are also included in the NRC Emotion Lexicon [32], which consists of a list of English words and their association with eight basic emotions (anger, fear, anticipation, trust, surprise, sadness, joy and disgust) and two sentiments (positive and negative). This lexicon, also known as EmoLex, has been previously used to detect the emotions conveyed by destinations’ online texts [33].
4 Results
Table 1 presents the results relating to the frequency count of sustainability-related words, which is calculated as the total number of words for each of the four dimensions in the total texts. It also reports the number of web pages containing sustainability-related words and the percentage of web pages on the total pages containing words related to the four sustainability dimensions. Overall, the analysis revealed that 15.8% of the total online texts contains information to promote sustainability-oriented behaviors at the destination. It further shows that environmental sustainability has the highest frequency of words, followed by the economic dimension. These results align with previous studies reporting that online information is mostly concerned with environmental sustainability, overlooking the other two dimensions [11, 14, 19, 20]. Further, they indicate that the communication is more specifically focused on environmental/economic/socio-cultural practices (14.59% of the total web pages) than generically referring to sustainable/responsible tourism (1.21% of the total web pages), which can be considered a relevant characteristic of credible and thus persuasive communication according to Villarino and Font [20].
Table 1.
Frequency of sustainability-related words across dimensions
Dimensions
Word frequency
Text per topics
% Text per topics
Environmental
342
193
6.49
Economic
329
191
6.42
Socio-Cultural
159
124
4.17
General
116
68
2.29
This is confirmed by the results relating to the frequency count by city (Table 2), which also highlights a small group of cities with a higher frequency of sustainability-related words (Firenze, Genova, Padova, Siena, Trieste and Venezia). Among these, it is interesting to note that Genova and Trieste present high percentages of economic sustainability-related words, as they often refer to the promotion of local products food, markets, as well as traditional workshops.
Table 2.
Frequency of sustainability-related words by city
Cities
Env.
Eco.
Soc.
Gen.
TOT
MEAN
SD
Assisi
0.020
0.016
0.007
0.010
0.053
0.013
0.0059
Bari
0
0.025
0
0.031
0.056
0.014
0.0164
Bologna
0.011
0.025
0.039
0.003
0.078
0.020
0.0159
Como
0.013
0.022
0.002
0.009
0.046
0.011
0.0083
Firenze
0.099
0.021
0.007
0.021
0.148
0.037
0.0419
Genova
0.030
0.092
0.020
0.008
0.150
0.038
0.0374
Milano
0.037
0.026
0.016
0.006
0.085
0.021
0.0133
Napoli
0.011
0.009
0.017
0.017
0.054
0.013
0.0041
Padova
0.104
0.044
0.009
0.044
0.201
0.050
0.0394
Palermo
0.005
0.005
0.024
0.005
0.039
0.010
0.0095
Parma
0.018
0.022
0.004
0.018
0.062
0.016
0.0079
Perugia
0.009
0.028
0.003
0.004
0.044
0.011
0.0116
Pisa
0.011
0.006
0.003
0.005
0.025
0.006
0.0034
Ravenna
0.021
0.038
0.013
0.002
0.074
0.018
0.0152
Roma
0.022
0.033
0.012
0.007
0.074
0.019
0.0115
Siena
0.121
0.023
0.052
0.006
0.202
0.050
0.0507
Torino
0.036
0.011
0.013
0.006
0.066
0.017
0.0133
Trieste
0.074
0.115
0
0
0.189
0.047
0.0571
Venezia
0.036
0.022
0.015
0.032
0.105
0.027
0.0095
Verona
0.034
0.026
0.010
0.007
0.077
0.019
0.0129
The number of frequencies in each text are divided by the total number of words of each text to avoid that longer texts are over-represented.
However, the analysis by destination shows that communication is mostly unbalanced across the dimensions, confirming evidence provided by Ghanem and Elgammal [11] about the lack of an effective approach balancing all sustainability pillars to better inform, motivate, and engage stakeholders in sustainable tourism.
Table 3 provides a detailed analysis of the contents that are most frequently communicated in relation to the four dimensions of sustainability. Sustainability-related words concerning the environment are mainly related to green practices and areas, while those relating to the economic pillar concern the specific products/providers for encouraging to shop locally. The promotion of excursions and authorized guided tours to discover destinations emerge in the communication related to the environmental and economic dimensions, respectively. In relation to the socio-cultural dimension, online texts most frequently refer to the authenticity of the resources at the destination and their preservation. This dimension also includes information about accessibility of hospitality services and attractions along with recommendations/codes of conduct that are aimed to prevent damaging behaviors by visitors (e.g., vandalism, graffiti). The last dimension includes words relating to general sustainability practices (e.g., Detourism, good practices, sustainable development) and awareness campaigns promoting sustainability.
Table 3.
Top 5 sustainability-related words across dimensions
Environment
%
Economic
%
Socio-cultural
%
General
%
Excursions
28.07
Authorized guided tours
45.90
Authenticity
14.46
Sustainability
21.55
Green areas
14.32
Local products
14.89
Preservation
13.84
Good practices
14.65
Green
practices
12.86
Local food
13.07
Cultural
Heritage
11.94
Sust. Develop.
11.21
Cycle paths
9.94
Traditional workshops
11.85
Accessibility
8.17
Awareness campaigns
10.34
Bike sharing
7.31
Local markets
4.56
Damage
5.03
Detourism
8.62
Table 4 and 5 present the results of the sentiment analysis, indicating the occurrences of positive, negative and neutral words in sustainability-related online texts across sustainability dimensions and by city, respectively. Overall, the results show that destinations do not take much advantage of an emotionally appealing language, in line with previous research [20]. Looking more in detail at the results of the sentiment analysis by destination (Table 5), some cases emerge presenting a higher percentage of positive sentiment along with a lower percentage of negative sentiment, notably Firenze, Perugia and Trieste.
Table 4.
Sentiment analysis of sustainability-related contents across dimensions
Dimensions
Positive
%
Negative
%
Neutral
%
Environmental
14845
1.89
3163
0.40
29909
3.81
Economic
16971
1.85
3787
0.41
34284
3.74
Socio-Cultural
17938
1.85
3978
0.41
36015
3.71
General
18815
1.86
4200
0.42
37545
3.71
Table 5.
Sentiment analysis of sustainability-related contents by destination
Cities
Positive (%)
Negative (%)
Neutral (%)
Trieste
2.23
0.22
3.23
Firenze
2.17
0.49
4.16
Perugia
2.16
0.34
3.23
Bari
1.76
0.50
3.99
Verona
1.51
0.35
4.52
Pisa
1.32
0.22
2.79
Table shows the three cities with the highest percentage of positive sentiment and the three cities with the lowest negative score
Finally, the research developed an emotional dictionary, which was tested on web pages coded as no sustainable and on those pages coded as sustainable, based on the sustainable dictionary previously created. On the pages regarding sustainability there is a greater use of emotional words. The result is statistically significant with a confidence level of 99% (p-value = 0.006943).
Table 6 reports the top emotional words, based on their frequency count in relation to the emotional dictionary. Based on EmoLex [32], they provide indications of the range of positive emotions associated the texts, including surprise (“unique”), joy (“beautiful”, “happy”), trust (“responsible”, “authentic”), anticipation (“passionate”).
Table 6.
Top 10 emotional words
Words
%
Unique
19,08
Beautiful
18,10
Discovery
15,38
Extraordinary
8,07
Respect
7,63
Passionate
3,05
Pleasant
2,94
Difficult
2,73
Responsible
2,62
Authentic
2,62
The analysis on the use of emotional words does not reveal substantial differences between the four dimensions of sustainability. Table 7 shows the top five emotional-related words that are mostly communicated, and highlighted that, although most of the emotional words are common between dimensions, yet their frequency is different. Measuring emotions through specific words has limits, as highlighted by Zhang and Fesenmaier [33, p. 87], because emotions are also expressed through some important experiential connotations that may not be immediately grasped with dictionary.
This study aims to contribute to research on online sustainability communication through a first attempt in the direction of developing a reliable tool for the automated analysis of online texts that could advance research based on manual approaches. When validated, such an instrument could facilitate systematic, large-scale and comparable analyses of online communications to understand how effectively destinations communicate to create awareness on and encourage sustainable behaviors through their websites as well as provide insights for the design of messages to improve their persuasiveness. Future research is needed to overcome the limits of this study, especially related to the size and the composition of the sample that includes only few Italian urban destinations. In this study, 124 sustainability related words have been identified; however, further testing on online texts relating to other destinations is necessary to assess the validity of the dictionaries and consequently refine them. Related to this issue is the challenge of multilinguality. The present study analyzed only online contents written in Italian language. Although “focusing on the largest languages is not a sustainable strategy in an increasingly multilingual world” [34, p. 430], future research should address the need to analyze online contents in other languages. Moreover, it would be interesting to test the dictionaries on tourism sustainability promotion contents and campaigns posted by DMOs on social networks. Finally, text-based sentiment analysis should take into account some important experiential connotations that are not immediately captured through the dictionary. Future research should be oriented to create an ad-hoc emotional dictionary for sustainability.
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