Blogging remains a core element of the digital content landscape, shaping how businesses, creators, and readers connect. Its influence spans industries, from media companies driving site traffic through blogs to small businesses using blog posts as lead magnets. Recent developments highlight shifts in how content is produced, consumed, and monetized....

In March 2024, close to 35.9 million unique global visitors visited Blogger.com, down from 38.4 million visitors in January of the same year. Blogger is a blogging and content management system which was acquired by Google in 2003.

As of August 2023, more than **** out of 10 bloggers surveyed worldwide reported including images in their typical blog posts. Half of the respondents said they added statistics to the entries, while contributor quotes rounded up the top three, mentioned by over ********* of the interviewees.

This dataset contains statistics on the usage patterns of the official City of Seattle blogs. 2011 - Present. It replaces an internal spreadsheet. The information is used to compare pageview activity between blogs. Not all urls represented in the datasheet are active. Active blogs would have pageviews greater than zero for the most recent month uploaded. The format of this dataset is likely to change over time per approved requests to track additional automated information.

As of August 2023, approximately ** percent of bloggers reporting strong results surveyed worldwide said they spent, on average, over six hours on a typical blog post. Around ** percent spent between **** and *** hours on a blog entry.

We have seen many applications of Recommender systems currently like movie recommendation, book recommendation, product recommendation etc. Similarly, it is also important to have a blog recommendation system which will provide a personalized and engaging user experience by presenting relevant and interesting content to readers. By analyzing user behavior and preferences, blog recommendation algorithms can learn and adapt to each individual's interests over time, improving the accuracy and relevance of their recommendations.

By studying different recommender algorithms, we can better understand how they work and how they can be applied to different situations. For instance, some algorithms are based on collaborative filtering, which focuses on identifying similarities between users and recommending items that other users with similar interests have enjoyed. Other algorithms rely on content-based filtering, which recommends items based on the attributes and characteristics of the items themselves.

We can also explore hybrid recommender algorithms, which combine both collaborative and content-based filtering to produce recommendations that are tailored to the individual user's preferences. Through this exploration of various recommender paradigms, we can gain a deeper understanding of the complexities involved in recommendation systems and how to leverage them effectively.

This blog post was posted by Paula Braun on January 16, 2015.

Discover the latest small business marketing statistics in 2024 from Wix and Vistaprint. Learn valuable insights and effective marketing strategies to stay ahead of the game.

Comprehensive YouTube channel statistics for Pilot Blog, featuring 1,360,000 subscribers and 475,670,017 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in CH. Track 450 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Abstract: BlogCatalog is the social blog directory which manages the bloggers and their blogs.Number of Nodes:10,312Number of Edges:333,983Missing Values?noSource:Nitin Agarwal+, Xufei Wang*, Huan Liu*+ Department of Information Science, University of Arkansas at Little Rock. E-mail:nxagarwal@ualr.edu* School of Computing, Informatics and Decision Systems Engineering, Arizona State University. E-mail: huan.liu@asu.edu, xufei.wang@asu.eduData Set Information:2 files are included:1. nodes.csv-- it's the file of all the users. This file works as a dictionary of all the users in this data set. It's useful for fast reference. It contains all the node ids used in the dataset.2. edges.csv-- this is the friendship network among the bloggers. The blogger's friends are represented using edges. Here is an example.1,2This means blogger with id "1" is friend with blogger id "2".Attribute Information:This is the data set crawled on July, 2009 from BlogCatalog ( http://www.blogcatalog.com ). BlogCatalog is a social blog directory website. This contains the friendship network crawled. For easier understanding, all the contents are organized in CSV file format.-. Basic statisticsNumber of bloggers : 88,784Number of friendship pairs: 4,186,390Relevant Papers:Nitin Agarwal and Huan Liu. ”Modeling and Data Mining in Blogosphere”, Synthesis Lectures on Data Mining and Knowledge Discovery #1, Morgan & Claypool Publishers, Robert Grossman (Editor), August 2009. ISBN: 9781598299083 (paperback) ISBN: 9781598299090 (ebook) Nitin Agarwal, Magdiel Galan, Huan Liu, and Shankar Subramanya. WisColl: Collective Wisdom based Blog Clustering. Journal of Information Science, 180(1): 39-61, January, 2010. Nitin Agarwal, Huan Liu, Sudheendra Murthy, Arunabha Sen, and Xufei Wang. A Social Identity Approach to Identify Familiar Strangers in a Social Network. In Proceedings of the Third International AAAI Conference on Weblogs and Social Media (ICWSM09), pp. 2 - 9, May 17-20, 2009. San Jose, California. Nitin Agarwal, Huan Liu, Sudheendra Murthy, Arunabha Sen, and Xufei Wang. "A Social Identity Approach to Identify Familiar Strangers in a Social Network", 3rd International AAAI Conference on Weblogs and Social Media (ICWSM09), pp. 2 - 9, May 17-20, 2009. San Jose, California.

As of August 2023, more than **** out of 10 bloggers surveyed worldwide reported using social media to promote their blog posts. E-mail marketing and search engine optimization (SEO) followed, each mentioned by about ********** of respondents.

The Blog-1K corpus is a redistributable authorship identification testbed for contemporary English prose. It has 1,000 candidate authors, 16K+ posts, and a pre-defined data split (train/dev/test proportional to ca. 8:1:1). It is a subset of the Blog Authorship Corpus from Kaggle. The MD5 for Blog-1K is '0a9e38740af9f921b6316b7f400acf06'.

1. Preprocessing

We first filter out texts shorter than 1,000 characters. Then we select one thousand authors whose writings meet the following criteria: - accumulatively at least 10,000 characters, - accumulatively at most 49,410 characters, - accumulatively at least 16 posts, - accumulatively at most 40 posts, and - each text has at least 50 function words found in the Koppel512 list (to filter out non-English prose).

Blog-1K has three columns: 'id', 'text', and 'split', where 'id' corresponds to its parent corpus.

1. Statistics

Its creation and statistics can be found in the Jupyter Notebook.

    Split
    # Authors
    # Posts
    # Characters
    Avg. Characters Per Author (Std.)
    Avg. Characters Per Post (Std.)


    Train
    1,000
    16,132
    30,092,057
    30,092 (5,884)
    1,865 (1,007)


    Validation
    935
    2,017
    3,755,362
    4,016 (2,269)
    1,862 (999)


    Test
    924
    2,017
    3,732,448
    4,039 (2,188)
    1,850 (936)

1. Usage

import pandas as pd

df = pd.read_csv('blog1000.csv.gz', compression='infer')

read in training data

train_text, train_label = zip(*df.loc[df.split=='train'][['text', 'id']].itertuples(index=False))

1. License All the materials is licensed under the ISC License.

2. Contact Please contact its maintainer for questions.

Discover the latest social media statistics and trends for 2025 and how they impact businesses.

A complete list of live websites using the Feedjit Live Blog Stats technology, compiled through global website indexing conducted by WebTechSurvey.

This blog post was posted by posted by Dr. Francis Collins on July 24, 2013.

We help you find official U.S. government information and services on the Internet.

Comprehensive YouTube channel statistics for Blogging Theology, featuring 571,000 subscribers and 73,423,133 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in GB. Track 1,379 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

This blog was posted by Elizabeth Kittrie on November 30, 2016. It was written by Elizabeth Kittrie, Senior Advisor for Open Innovation & Policy and Joe Bonner, Health Scientist-AAAS Fellow.

Context:

“A blog (a truncation of the expression "weblog") is a discussion or informational website published on the World Wide Web consisting of discrete, often informal diary-style text entries ("posts"). Posts are typically displayed in reverse chronological order, so that the most recent post appears first, at the top of the web page. Until 2009, blogs were usually the work of a single individual, occasionally of a small group, and often covered a single subject or topic.” -- Wikipedia article “Blog”

This dataset contains text from blogs written on or before 2004, with each blog being the work of a single user.

Content:

The Blog Authorship Corpus consists of the collected posts of 19,320 bloggers gathered from blogger.com in August 2004. The corpus incorporates a total of 681,288 posts and over 140 million words - or approximately 35 posts and 7250 words per person.

Each blog is presented as a separate file, the name of which indicates a blogger id# and the blogger’s self-provided gender, age, industry and astrological sign. (All are labeled for gender and age but for many, industry and/or sign is marked as unknown.)

All bloggers included in the corpus fall into one of three age groups:

• 8240 "10s" blogs (ages 13-17),
• 8086 "20s" blogs(ages 23-27)
• 2994 "30s" blogs (ages 33-47).

For each age group there are an equal number of male and female bloggers.

Each blog in the corpus includes at least 200 occurrences of common English words. All formatting has been stripped with two exceptions. Individual posts within a single blogger are separated by the date of the following post and links within a post are denoted by the label urllink.

Acknowledgements

The corpus may be freely used for non-commercial research purposes. Any resulting publications should cite the following:

J. Schler, M. Koppel, S. Argamon and J. Pennebaker (2006). Effects of Age and Gender on Blogging in Proceedings of 2006 AAAI Spring Symposium on Computational Approaches for Analyzing Weblogs. URL: http://www.cs.biu.ac.il/~schlerj/schler_springsymp06.pdf

Inspiration:

• This dataset contains information on writers demographics, including their age, gender and zodiac sign. Can you build a classifier to guess someone’s zodiac sign from blog posts they’ve written?
• Which are bigger: differences between demographic groups or differences between blogs on different topics?

You may also like:

• News and Blog Data Crawl: Content section from over 160,000 news and blog articles
• 20 Newsgroups: A collection of ~18,000 newsgroup documents from 20 different newsgroups

In a survey of bloggers conducted in 2020 in the UK, ** percent of the respondents said the size of their blog audience was between 1,000 and 10,000 visitors. ** percent of the bloggers said they had over ****** unique visitors to their blog.