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What is long tail in web page 2.0? 

Research Question

What is long tail in web page 2.0? 
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Academic Insights

The concept of the "long tail" in Web 2.0 refers to the economic and cultural shift enabled by the internet, which allows for the distribution and consumption of a vast array of niche products and content, rather than focusing solely on mainstream hits.

Key Insights

  • Economic Shift:

    • The internet reduces traditional media distribution barriers, such as channel capacity constraints and shelf space limitations, enabling the availability of all content regardless of its popularity .
    • Digital search technology and recommendation systems help audiences discover niche and obscure content, leading to a shift from mass media to niche markets .
  • Consumer Behavior:

    • Increasing assortment sizes and improved search technologies lead to higher demand per customer and a longer tail, meaning a significant share of demand is captured by niche products .
    • Seasonal effects and the presence of high-quality blockbuster products can influence the length of the tail, with new customers and specific times of the year driving more niche product purchases .
  • Cultural Impact:

    • The long tail theory suggests a democratization and diversification of media production and consumption, allowing niche media producers to reach audiences that were previously inaccessible .
    • The theory also replaces the traditional Pareto Principle (80/20 rule) in describing the distribution of participation and engagement in online platforms, leading to a more varied and less concentrated participation distribution .

Conclusion

The long tail in Web 2.0 highlights a significant shift in both economic and cultural landscapes, driven by the internet's ability to lower distribution barriers and enhance content discovery. This shift enables a broader range of niche products and content to gain visibility and demand, challenging traditional mass media models and promoting a more diverse and democratized media environment.

1

Giant Pools of Content: Theorizing Aggregation in Online Media Distribution

3 citations | JCMS: Journal of Cinema and Media Studies | Andrew J. Bottomley | 2019Cite
2

Drivers of the Long Tail Phenomenon: An Empirical Analysis

78 citations | Journal of Management Information Systems | O. Hinzet | 2011Cite
3

Long tail phenomenon in public policy: analyzing big data on citizen opinion

Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age | Eunmi Leeet | 2018Cite
4

Content management at kapanlagi.com: a study of Indonesian digital media

1 citations | Jurnal Studi Komunikasi (Indonesian Journal of Communications Studies) | Reza Safitriet | 2023Cite
5

A Novel Approach Web Services Based Long Tail Web Services Using Deep Neural Network

2 citations | 2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) | M. Meenakshiet | 2019Cite
9

DeepLTSC: Long-Tail Service Classification via Integrating Category Attentive Deep Neural Network and Feature Augmentation

7 citations | IEEE Transactions on Network and Service Management | Guobing Zouet | 2022Cite
10

DLTSR: A Deep Learning Framework for Recommendations of Long-Tail Web Services

89 citations | IEEE Transactions on Services Computing | Bing Baiet | 2020Cite
11

Large Language Model based Long-tail Query Rewriting in Taobao Search

11 citations | Companion Proceedings of the ACM on Web Conference 2024 | Wenjun Penget | 2023Cite
13

How Re-sampling Helps for Long-Tail Learning?

5 citations | ArXiv | Jiang-Xin Shiet | 2023Cite
16

SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail

8 citations | 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Yingjun Duet | 2023Cite
17

Going Down the Rabbit Hole: Characterizing the Long Tail of Wikipedia Reading Sessions

3 citations | Companion Proceedings of the Web Conference 2022 | Tiziano Piccardiet | 2022Cite
18

FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction

12 citations | 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Yuning Wanget | 2023Cite
19

Collaborative Revolution

Revolução Colaborativa Narceet | 2021Cite
20

Revolução Colaborativa

AVANCA | CINEMA | Narce Dalia Ruiz Guzmán | 2021Cite
21

Detection Method for Distributed Web-Crawlers: A Long-Tail Threshold Model

8 citations | Secur. Commun. Networks | In-Kyo Roet | 2018Cite
22

FCJ-117 Four Regimes of Entropy: For an Ecology of Genetics and Biomorphic Media Theory

3 citations | The Fibreculture Journal | M. Pasquinelli | 2011Cite
25

Equitable Top-k Results for Long Tail Data

2 citations | Proceedings of the ACM on Management of Data | Md Mouinul Islamet | 2023Cite
26

Identity of Long-tail Entities in Text

2 citations | Filip Ilievski | 2019Cite
27

Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

848 citations | 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Soravit Changpinyoet | 2021Cite

Related Questions

  • What are the key features of Web 2.0?
  • How does the long tail concept apply to online marketing?
  • What is the significance of user-generated content in Web 2.0?
  • How can businesses leverage the long tail strategy?
  • What are examples of long tail products in e-commerce?

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