For adventurous beginners in NLP. In this post, we’ll explore the dataset provided by the Trump Twitter Archive.
#python #data-science #nlp #nltk
Twitter is a microblogging website that allows users to share their opinion, facts, and so on via tweets. People can follow their favourite celebrities and other famous personalities on the Twitter app. They will receive tweets they have posted in their feeds. At present, Twitter has over 100 million active users and 500 million tweets are shared daily. While investing in Twitter clone app, make sure that it has the following features:
Users can gain more attention to a particular tweet by pinning the tweet on top of their profiles. Whenever people visit your page, pinned tweets will be visible to them. It is one of the best strategies to get more attention to blogs, business, promotional products & services, and many more.
Twitter moments are curated stories and posts that belong to specific categories. Users post content related to an event like a music concert, theatre play, and so on. This Twitter clone script feature brings more followers to the users’ accounts.
Users get alerts whenever new content is posted by the followers, upcoming features, for important events, etc. They can also customize the category which they receive as alerts like they can mute from certain followers according to their preference.
Create photo collages
Photos are an essential part of any social networking site, and the Twitter app clone is no exception. Users can create a collage with a maximum of four photos during tweeting through this photo collage feature.
Appdupe offers the best Twitter clone script that is customizable and white-labeled. The Twitter clone is scalable, so it is viable for future advancements. Twitter is both a unique and popular social media website, so purchase a high-end clone app from us and become successful with your business venture.
#twitter clone #twitter clone app development #radar twitter clone script #twitter clone script #best twitter clone script #twitter clone app
Dutch ethical hacker Victor Gevers claims it only took five attempts to guess the password to President Donald Trump’s Twitter account — “maga2020!”.
That’s all he needed to hijack the @realdonaldtrump handle, according a report from Dutch newspaper de Volksrant, because it lacked even the most basic two-factor authentication (2FA), exposing major flaws in the digital security surrounding the President.
While Threatpost has not been able to independently verify the veracity of Gevers’ claim of the Oct. 16 hack of Trump’s Twitter, several professionals have analyzed screenshots and vouch for their authenticity, according to Dutch magazine Vrij Nederland, which added that Gevers works for the Dutch government by day and runs the ethical hacking GDI Foundation in his spare time — and so is well regarded within the country’s security community.
Twitter, however, said it is dubious about the report.
“We’ve seen no evidence to corroborate this claim, including from the article published in the Netherlands today,” a Twitter spokesperson said in a statement responding to Threatpost’s inquiries. “We proactively implemented account security measures for a designated group of high-profile, election-related Twitter accounts in the United States, including federal branches of government.”
An announcement on Sept. 17 from Twitter Safety said the company was sending in-app notifications “requiring” or “strongly recommending” enhanced security measures, including a requirement for a strong password, to members of government and journalists in the run-up to the election.
The policy goes on to “strongly encourage” these accounts enable 2FA but does not say it’s a requirement.
2FA requires users have a one-time generated code, sent by email or text, which needs to be entered to login. This keeps bad actors from accessing the account even if they have the username and password.
Gevers said that after he successfully hacked the president’s Twitter account he went to great lengths to report the vulnerability, sending emails, screenshots and social-media messages to various U.S. government entities through Twitter, Parler and other platforms, de Volkskrant reported. Days later, he found the 2FA to be in place and two days after that, he received a friendly email from the Secret Service thanking him.
While that didn’t do much to explain how it came to be that Trump didn’t have basic protections on his Twitter account, Gevers speculated to de Volkskrant that it has something to do with his age, adding, “…elderly people often switch off two-step verification because they find it too complicated.”
This isn’t the first time Gevers was reportedly able to commandeer the infamous Twitter handle. In 2016, he was part of a group of self-described “grumpy old hackers” who accessed Trump’s Twitter account by guessing the password “yourefired,” Vrij Nederland reported. The group tried to alert team Trump that, “he had his digital fly open,” with no response at the time, Vrij Nederland added.
Gevers told de Volkskrant that it was recent headlines about presidential candidate Joe Biden’s son, Hunter Biden being hacked that inspired him to start spot-checking accounts for U.S. political figures.
“Doing spot checks, that’s my work: Look for any leaks in security,” he said. When he got to Trump’s account, he tried a few variations, expecting to get locked out after the fourth failed attempt, instead he hit the jackpot on try number five, according to de Volkskrant.
Gever’s reaction, according to Vrij Nederland? “Not again!”
This report comes at a time when U.S. law-enforcement officials warn Russia and Iran are actively engaging in election interference through hacked voter-registration information.
Cybercriminals are “going after the minds of the American people and their trust in the democratic institutions that we use to select our leaders, “Matt Olney, director of Talos’ Threat Intelligence and Interdiction at Cisco told Threatpost this week.
The good news is that the public is getting smarter about information security.
“Everybody has a role in election security,” Olney explained. “And that includes the election community who have gone at that problem aggressively over the last four years; [and] the public, which has largely adopted a more skeptical eye towards information as it comes out, for better or worse.”
#breach #hacks #web security #2fa #dutch researcher #hack #password #trump #trump hack #twitter #two factor authentication #victor gevers #weak password
_In a [previous post] we set out to explore the dataset provided by the [Trump Twitter Archive]. This is part two of the Exploring Trump series.On this post, we’ll continue our journey but this time we’ll be using spaCy.
For this project, we’ll be using pandas for data manipulation, spaCy for natural language processing, and joblib to speed things up.Let’s get started by firing up a Jupyter notebook!
Let’s import pandas and also set the display options so Jupyter won’t truncate our columns and rows. Let’s also set a random seed for reproducibility.
# for manipulating data import pandas as pd # setting the random seed for reproducibility import random random.seed(493) # to print out all the outputs from IPython.core.interactiveshell import InteractiveShell InteractiveShell.ast_node_interactivity = "all" # set display options pd.set_option('display.max_columns', None) pd.set_option('display.max_rows', None) pd.set_option('display.max_colwidth', -1)
Let’s read the data into a dataframe. If you want to follow along, you can download the cleaned dataset here along with the file for stop words¹. This dataset contains Trump’s tweets from the moment he took office on January 20, 2017 to May 30, 2020.
df = pd.read_csv('trump_20200530_clean.csv', parse_dates=True, index_col='datetime')
Let’s take a quick look at the data.
Now let’s import spaCy and begin natural language processing.
# for natural language processing: named entity recognition import spacy import en_core_web_sm
We’re only going to use spaCy’s ner functionality or named-entity recognition so we’ll disable the rest of the functionalities. This will save us a lot of loading time later.
#nlp #spacy #exploring-trump #data-science #data analysis #data analysis
Social networking sites are topping the charts both in user engagements and revenue. Among the top-grossing platforms, apps like Facebook, Twitter, Instagram, etc., occupy a firm and commendable position. With almost 80% of the Internet users establishing a social media presence, entrepreneurs needn’t hesitate to invest in a Twitter Clone App.
However, with so many social media apps sprouting up, there’s a need for the app to be unique and attractive. Users expect stand-apart features in an app like Twitter. It is pointless to expect users to switch from the existing app to the new one unless it offers specific advantages. In this blog, let’s discuss the cutting-edge features that can make an impact on the audience.
The best Twitter clone script must inevitably include these features. Ensure that you integrate these features into your Twitter clone to ensure your social media platform’s success.
#twitter clone #twitter clone app development #radar twitter clone script #twitter clone script #best twitter clone script
There are plenty of articles out there that give an overview of the Twitter API. This is not that.
My goal here is to get you up and running in a few minutes by just showing you the code, and offering a few tips that helped me while building this graph.
*Broken up into 3 pieces
import tweepy import numpy as np import pandas as pd import re import plotly.express as px import plotly.graph_objects as go from plotly.subplots import make_subplots api_key = 'x' api_secret_key = 'y' bearer_token = 'a' access_token = 'b' access_token_secret = 'd' password = 'd' auth = tweepy.OAuthHandler(api_key, api_secret_key) auth.set_access_token(access_token, access_token_secret) api = tweepy.API(auth) public_tweets = api.home_timeline() for tweet in public_tweets: print(tweet.text)
pip install tweepyor in juypter
!pip install tweepy
The above code produces a few tweets that look like this:
A few tweets from code piece 1
#trump #donald-trump #twitter #biden #python