Promotion of urban tourism: insights into user engagement on social media
نویسندگان
چکیده
Interactions between tourism and social networks are among the most notable phenomena of recent times, generating new approaches, in terms both analyses policies for promotion. Public authorities have been forced to become involved these realities, adapting their promotion channels tourists’ behaviour patterns carefully cultivating interactions with them. It is becoming ever more important create transmit an image capable stimulating high levels engagement. This article role one booming networks, Instagram, applied case Berlin, a leading tourist city. All posts generated over course year on German capital’s official Instagram account were encoded, characteristics those that interaction users form likes comments analysed. Our study reveals directly intended as advertising generate negative results, while there differences elements comments, respectively: general nature, specifically linked Berlin brand. These findings suggest conclusions efficient development strategies promote users.
منابع مشابه
Social Media Engagement Theory: Exploring the Influence of User Engagement on Social Media Usage
Business models that rely on social media and user-generated content have shifted from the more traditional business model, where value for the organization is derived from the one-way delivery of products and/or services, to the provision of intangible value based on user engagement. This research builds a model that hypothesizes that the user experiences from social interactions among users, ...
متن کاملUser-Generated Social Media Events in Tourism
Social media and mobile technologies have revolutionised communication and particular attention has been given to user-generated content (UGC) and the formation of online communities; however, little attention has been given to tourist events entirely generated by users through social media. This paper aims to define and characterise the phenomenon of tourism user-generated events (UGEs) throug...
متن کاملUnsupervised Learning For Effective User Engagement on Social Media
In this paper, we investigate the effectiveness of unsupervised feature learning techniques in predicting user engagement on social media. Specifically, we compare two methods to predict the number of feedbacks (i.e., comments) that a blog post is likely to receive. We compare Principal Component Analysis (PCA) and sparse Autoencoder to a baseline method where the data are only centered and sca...
متن کاملText Insights: Natural Language Analytics for Understanding Social Media Engagement
We present Text Insights, an application for understanding factors of user engagement in Facebook pages. Providing analytics based on natural language processing, Text Insights is complementary to existing tools offering mainly numerical indicators of user engagement. Our system extracts keyphrases from page content in a linguistically motivated manner. Keyphrases are weighted according to thei...
متن کاملSocial Media influence on viewer engagement
Society is being reshaped through Social Media. The case of Social Media integration into the London 2012 Olympics mainstream media coverage is used to demonstrate this. Social Media has modified television viewing from a passive to an active activity. It has also allowed opinions to be shared more quickly and broadly. Analysis of practical examples through the theoretical lens of sociomaterial...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Technology & Tourism
سال: 2021
ISSN: ['1098-3058', '1943-4294']
DOI: https://doi.org/10.1007/s40558-021-00213-6