Location-based crowdsourcing of hyperlocal news

Väätäjä, Heli; Vainio, Teija; Sirkkunen, Esa

doi:10.1145/2389176.2389189

Cited by 25 publications

(4 citation statements)

References 34 publications

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“…Individuals, who are at or close to a particular location, are called to carry out a task that is bound to the respective location (Bauer et al, 2014). LBCS projects are implemented as, for instance, locationbased games with the purpose to collect urban data (Celino et al, 2012), location-based services in cities (Bentley et al, 2014), local news platforms (Väätäjä et al, 2012), and geographic information for disaster response (Goodchild and Glennon, 2010) etc. While, in LBCS, the location of the crowdsourcer may be relevant or not, the location of a crowdsourcee is significant (Bauer et al, 2014).…”

Section: Crowdsourcing Web Applications In Terms Of Locationmentioning

confidence: 99%

“Crowd logistics”: the contribution of social crowds in logistics activities

Mladenow

Bauer

Strauß

2016

IJWIS

102

103

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Purpose-Various types and implementations of crowdsourcing have emerged on the market; many of them are related to logistics. While we can identify plenty of crowd logistics applications using information technology capabilities and information sharing in practice, theories behind this phenomenon have received only limited attention. This paper accounts for filling this research gap by analyzing the crowd's contributions in logistics of goods and information. Thereby, this paper aims to provide the necessary basis for a novel interdisciplinary research field. Design and Methodology-This paper is part of an ongoing research endeavor in the field of location-based crowdsourcing (LBCS). It represents conceptual work that builds on a literature review enriched with an in-depth analysis of real-world examples in the field of crowd logistics. Using a scoring method, we provide an example how a company may evaluate the alternatives of crowd logistics. Approach-The main approach is an analysis of variants of how the social crowd may be integrated in logistics processes. The work is conceptual in its core. Thereby, we use real-world examples of crowdsourcing applications to underpin the evaluated variants of crowd logistics. Findings-The paper presents relevant theoretical background on crowd logistics. We differentiate between variants of crowd logistics with their flow of materials, goods, and information. Thereby we zoom in the type, significance, and process flow of the crowd's contributions. We discuss potential advantages and challenges of logistics with the performing crowd and deeply discuss opportunities and challenges from a business and from an individual's perspective. Finally, we highlight a route map for future research directions in this novel interdisciplinary research field. Limitations of the research-As this work is conceptual in its core, generalizations may be drawn only with great care. Still, we are in a position to propose a route map for further research in this area in this paper. Also the integration of an analysis of a scale of real-world applications allows us to highlight our research's practical relevance and implications. Contributions-The main contribution of this paper is an in-depth analysis and consolidation of innovative crowd logistics applications in order to provide an overview on recent implementations. We propose a categorization scheme and contribute with a route map for further research in the field of crowd logistics.

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Section: Crowdsourcing Web Applications In Terms Of Locationmentioning

confidence: 99%

“Crowd logistics”: the contribution of social crowds in logistics activities

Mladenow

Bauer

Strauß

2016

IJWIS

102

103

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“…Crowdsourcing by using tasks develops a tighter relationship between the users and the organization and it is also a very costeffective way to generate relevant news, something that is particularly appealing for the local press. The possible tasks can vary from writing a story, carrying out an interview, shooting a photo or a video, but in all of them the location of the user when the task is received matters greatly [25,26]. Additionally, studies indicate that incentives or other ways to be acknowledged are very relevant in this context.…”

Section: Location-based Applications E-participation and Locative Journalismmentioning

confidence: 99%

“…To develop a set of indicators, we identified the central factors presented in the studies carried out by [20,26,[32][33][34]37]. The selection of these works from the academic literature to present our framework is due to the fact that these manuscripts present indicators or ideas that readily lead to indicators to assess the issues addressed in this paper.…”

Section: Indicatorsmentioning

confidence: 99%

Local News and Geolocation Technology in the Case of Portugal

2021

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New projects have recently emerged to develop geolocation technology for the publication of local news in Portugal. These types of new initiatives open the possibility to explore new media perspectives, identifying emerging directions and opportunities to develop more competitive ways to publish local news. In this work, we study these ideas and to what extent they can be used to cope with the challenges that the local Portuguese press is currently facing. We provide local news editors with information to further develop their e-participation and news publishing activities. To this end, we present 10 indicators that measure geolocation technology that has been successful in providing attractive services to local consumers. Lastly, we analyze five Portuguese apps by means of the proposed guideline. Our work shows that the use of geolocation technology has a great potential for local journalism in Portugal but nevertheless we still find flaws in their implementation.

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“…The eBird (https://ebird.org) project [100] is one of the earliest SC-based applications for collecting information about bird sightings from the bird-watching enthusiasts. SC is also referred in the literature by the following phrases: "Place-Centric Crowdsourcing" [21,59,116], "Location-based Crowdsourcing" [2,7,117], "Participatory Sensing" [10,32,40], "Mobile Crowdsourcing" [11,127], and "Mobile Crowdsensing" [44,124]. To elaborate, "Participatory Sensing" and "Mobile Crowdsensing" belong to a subset of SC, that involves utilization of smartphones of users to collect the different sensor data of the smartphones at different locations.…”

Section: Papers 1 Introductionmentioning

confidence: 99%

Multi-modal Spatial Crowdsourcing for Enriching Spatial Datasets

Gummidi

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Location-based crowdsourcing of hyperlocal news

Cited by 25 publications

References 34 publications

“Crowd logistics”: the contribution of social crowds in logistics activities

“Crowd logistics”: the contribution of social crowds in logistics activities

Local News and Geolocation Technology in the Case of Portugal

Multi-modal Spatial Crowdsourcing for Enriching Spatial Datasets

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