Tag Archives: China

Aerial Robotics for Search & Rescue: State of the Art?

WeRobotics is co-creating a global network of labs to transfer robotics solutions to those who need them most. These “Flying Labs” take on different local flavors based on the needs and priorities of local partners. Santiago Flying Labs is one of the labs under consideration. Our local partners in Chile are interested in the application of robotics for disaster preparedness and Search & Rescue (SaR) operations. So what is the state of the art in rescue robotics?

WP0

One answer may lie several thousand miles away in Lushan, China, which experienced a 7.0 magnitude earthquake in 2013. The mountainous area made it near impossible for the Chinese International Search and Rescue Team (CISAR) to implement a rapid search and post-seismic evaluation. So State Key Robotics Lab at Shenyang Institute of Automation offered aerial support to CISAR. They used their aerial robot (UAV) to automatically and accurately detect collapsed buildings for ground rescue guidance. This saved the SaR teams considerable time. Here’s how.

WP5

A quicker SaR response leads to a higher survival rate. The survival rate is around 90% within the first 30 minutes but closer to 20% by day four. “In traditional search methods, ground rescuers are distributed to all possible places, which is time consuming and inefficient.” An aerial inspection of the disaster damage can help accelerate the ground search for survivors by prioritizing which areas to search first.

WP1

State Key Labs used a ServoHeli aerial robot to capture live video footage of the damaged region. And this is where it gets interesting. “Because the remains of a collapsed building often fall onto the ground in arbitrary directions, their shapes will exhibit random gradients without particular orientations. Thus, in successive aerial images, the random shape of a collapsed building will lead to particular motion features that can be used to discriminate collapsed from non-collapsed buildings.”

WP2

These distinct motion features can be quantified using a histogram of oriented gradient (HOG) as depicted here (click to enlarge):

WP4
As is clearly evident from the histograms, the “HOG variation of a normal building will be much larger than that of a collapsed one.” The team at State Key Labs had already employed this technique to train and test their automated feature-detection algorithm using aerial video footage from the 2010 Haiti Earthquake. Sample results of this are displayed below. Red rectangles denote where the algorithm was successful in identifying damage. Blue rectangles are false alarms while orange rectangles are missed detections.

Screen Shot 2016-02-07 at 2.55.14 AM

Screen Shot 2016-02-07 at 2.54.14 AM

Screen Shot 2016-02-07 at 2.55.57 AM

While the team achieved increasingly accurate detection rates for Haiti, the initial results for Lushan were not as robust. This was due to the fact that Lushan is far more rural than Port-au-Prince, which tripped up the algorithm. Eventually, the software achieved an accurate rate of 83.4% without any missed collapses, however. The use of aerial robotics and automated feature detection algorithms in Xinglong Village (9.5 sq. km) enabled CISAR to cut their search time in half. In sum, the team concluded that videos are more valuable for SaR operations than static images.

Screen Shot 2016-02-07 at 2.53.05 AM

Screen Shot 2016-02-07 at 2.52.26 AM

To learn more about this deployment, see the excellent write-up “Search and Rescue Rotary-Wing UAV and Its Application to the Lushan Ms 7.0 Earthquake” published in the Journal of Field Robotics. I wish all robotics deployments were this well documented. Another point that I find particularly noteworthy about this operation is that it was conducted three years ago already. In other words, real-time feature detection of disaster damage from live aerial video footage was already used operationally years ago.

WP3
What’s more, this paper published in 2002 (!) used computer vision to detect with a 90% accuracy rate collapsed buildings in aerial footage of the 1995 Kobe earthquake captured by television crews in helicopters. Perhaps in the near future we’ll have automated feature detection algorithms for disaster damage assessments running on live video footage from news channels and aerial robots. These could then be complemented by automated change-detection algorithms running on satellite imagery. In any event, the importance of applied research is clearly demonstrated by the Lushan deployments. This explains why WeRobotics
always aims to have local universities involved in Flying Labs.


Thanks to the ICARUS Team for pointing me to this deployment.

Humanitarian UAVs Fly in China After Earthquake (updated)

A 6.1 magnitude earthquake struck Ludian County in Yunnan, China earlier this month. Some 600 people lost their lives; over 2,400 were injured and another 200,000 were forced to relocate. In terms of infrastructure damage, about 30,000 buildings were damaged and more than 12,000 homes collapsed. To rapidly search for survivors and assess this damage, responders in China turned to DJI’s office in Hong Kong. DJI is one of leading manufacturers of commercial UAVs in the world.

Rescuers search for survivors as they walk among debris of collapsed buildings after an earthquake hit Longtoushan township of Ludian county

DJI’s team of pilots worked directly with the China Association for Disaster and Emergency Response Medicine (CADERM). According to DJI, “This was the first time [the country] used [UAVs] in its relief efforts and as a result many of the cooperating agencies and bodies working on site have approached us for training / using UAS technology in the future […].” DJI flew two types of quadcopters, the DJI S900 and DJI Phantom 2 Vision+ pictured below (respectively):

DJI S900

Phantom 2

As mentioned here, The DJI Phantom 2 is the same one that the UN Office for the Coordination of Humanitarian Affairs (OCHA) is experimenting with:

Screen Shot 2014-06-24 at 2.22.05 PM

Given the dense rubble and vegetation in the disaster affected region of Ludian County in China, ground surveys were particularly challenging to carry out. So UAVs provided disaster responders with an unimpeded bird’s eye view of the damage, helping them prioritize their search and rescue efforts. DJI reports that the UAVs “were able to relay images back to rescue workers, who used them to determine which roads needed to be cleared first and which areas of the rubble to search for possible survivors. […].”

The video above shows some striking aerial footage of the disaster damage. This is the not first time that UAVs have been used for search and rescue or road clearance operations. Transporting urgent supplies to disaster areas requires that roads be cleared as quickly as possible, which is why UAVs were used for this and other purposes after Typhoon Haiyan in the Philippines. In Ludian, “Aerial images captured by the team were [also] used by workers in the epicenter area […] where most of the traditional buildings in the area collapsed.”

DJI was not the only group to fly UAVs in response to the quake in Yunnan. The Chinese government itself deployed UAVs (days before DJI). As the Associated Press reported several weeks ago already, “A novel part of the Yunnan response was the use of drones to map and monitor a quake-formed lake that threatened to flood areas downstream. China has rapidly developed drone use in recent years, and they helped save time and money while providing highly reliable data, said Xu Xiaokun, an engineer with the army reserves.”

Working with UAV manufacturers directly may prove to be the preferred route for humanitarian organizations requiring access to aerial imagery following major disasters. At the same time, having the capacity and skills in-house to rapidly deploy these UAVs affords several advantages over the partnership model. So combining in-house capacity with a partnership model may ultimately be the way to go but this will depend heavily on the individual mandates and needs of humanitarian organizations.

Bio

See Also:

  • Humanitarians in the Sky: Using UAVs for Disaster Response [link]
  • Live Crisis Map of UAV Videos for Disaster Response [link]
  • Humanitarian UAV Missions During Balkan Floods [link]
  • UAVs, Community Mapping & Disaster Risk Reduction in Haiti [link]
  • “TripAdvisor” for International UAV/Drone Travel [link]

How Crowdsourced Disaster Response in China Threatens the Government

In 2010, Russian volunteers used social media and a live crisis map to crowdsource their own disaster relief efforts as massive forest fires ravaged the country. These efforts were seen by many as both more effective and visible than the government’s response. In 2011, Egyptian volunteers used social media to crowdsource their own humanitarian convoy to provide relief to Libyans affected by the fighting. In 2012, Iranians used social media to crowdsource and coordinate grassroots disaster relief operations following a series of earthquakes in the north of the country. Just weeks earlier, volunteers in Beijing crowd-sourced a crisis map of the massive flooding in the city. That map was immediately available and far more useful than the government’s crisis map. In early 2013, a magnitude 7  earthquake struck Southwest China, killing close to 200 and injuring more than 13,000. The response, which was also crowdsourced by volunteers using social media and mobile phones, actually posed a threat to the Chinese Government.

chinaquake

“Wang Xiaochang sprang into action minutes after a deadly earthquake jolted this lush region of Sichuan Province […]. Logging on to China’s most popular social media sites, he posted requests for people to join him in aiding the survivors. By that evening, he had fielded 480 calls” (1). While the government had declared the narrow mountain roads to the disaster-affected area blocked to unauthorized rescue vehicles, Wang and hitchhiked his way through with more than a dozen other volunteers. “Their ability to coordinate — and, in some instances, outsmart a government intent on keeping them away — were enhanced by Sina Weibo, the Twitter-like microblog that did not exist in 2008 but now has more than 500 million users” (2). And so, “While the military cleared roads and repaired electrical lines, the volunteers carried food, water and tents to ruined villages and comforted survivors of the temblor […]” (3). Said Wang: “The government is in charge of the big picture stuff, but we’re doing the work they can’t do” (4).

In response to this same earthquake, another volunteer, Li Chengpeng, “turned to his seven million Weibo followers and quickly organized a team of volunteers. They traveled to the disaster zone on motorcycles, by pedicab and on foot so as not to clog roads, soliciting donations via microblog along the way. What he found was a government-directed relief effort sometimes hampered by bureaucracy and geographic isolation. Two days after the quake, Mr. Li’s team delivered 498 tents, 1,250 blankets and 100 tarps — all donated — to Wuxing, where government supplies had yet to arrive. The next day, they hiked to four other villages, handing out water, cooking oil and tents. Although he acknowledges the government’s importance during such disasters, Mr. Li contends that grass-roots activism is just as vital. ‘You can’t ask an NGO to blow up half a mountain to clear roads and you can’t ask an army platoon to ask a middle-aged woman whether she needs sanitary napkins, he wrote in a recent post” (5).

chinaquake2

As I’ve blogged in the past (here and here, for example), using social media to crowdsourced grassroots disaster response efforts serves to create social capital and strengthen collective action. This explains why the Chinese government (and others) faced a “groundswell of social activism” that it feared could “turn into government opposition” following the earthquake (6). So the Communist Party tried to turn the disaster into a “rallying cry for political solidarity. ‘The more difficult the circumstance, the more we should unite under the banner of the party,’ the state-run newspaper People’s Daily declared […], praising the leadership’s response to the earthquake” (7).

This did not quell the rise in online activism, however, which has “forced the government to adapt. Recently, People’s Daily announced that three volunteers had been picked to supervise the Red Cross spending in the earthquake zone and to publish their findings on Weibo. Yet on the ground, the government is hewing to the old playbook. According to local residents, red propaganda banners began appearing on highway overpasses and on town fences even before water and food arrived. ‘Disasters have no heart, but people do,’ some read. Others proclaimed: ‘Learn from the heroes who came here to help the ones struck by disaster’ (8). Meanwhile, the Central Propaganda Department issued a directive to Chinese newspapers and websites “forbidding them to carry negative news, analysis or commentary about the earthquake” (9). Nevertheless, “Analysts say the legions of volunteers and aid workers that descended on Sichuan threatened the government’s carefully constructed narrative about the earthquake. Indeed, some Chinese suspect such fears were at least partly behind official efforts to discourage altruistic citizens from coming to the region” (10).

Aided by social media and mobile phones, grassroots disaster response efforts present a new and more poignant “Dictator’s Dilemma” for repressive regimes. The original Dictator’s Dilemma refers to an authoritarian government’s competing interest in using information communication technology by expanding access to said technology while seeking to control the democratizing influences of this technology. In contrast, the “Dictator’s Disaster Lemma” refers to a repressive regime confronted with effectively networked humanitarian response at the grassroots level, which improves collective action and activism in political contexts as well. But said regime cannot prevent people from helping each other during natural disasters as this could backfire against the regime.

bio

See also:

 •  How Civil Disobedience Improves Crowdsourced Disaster Response [Link]

Crowdsourcing a Crisis Map of the Beijing Floods: Volunteers vs Government

Flash floods in Beijing have killed over 70 people and forced the evacuation of more than 50,000 after destroying over 8,000 homes and causing $1.6 billion in damages. In total, some 1.5 million people have been affected by the floods after Beijing recorded the heaviest rainfall the city has seen in more than 60 years.

The heavy rains began on July 21. Within hours, users of the Guokr.com social network launched a campaign to create a live crisis map of the flood’s impact using Google Maps. According to TechPresident, “the result was not only more accurate than the government output—it was available almost a day earlier. According to People’s Daily Online, these crowd-sourced maps were widely circulated on Weibo [China’s version of Twitter] the Monday and Tuesday after the flooding.” The crowdsourced, citizen-generated flood map of Beijing is available here and looks like this:

One advantage of working with Google is that the crisis map can also be viewed via Google Earth. That said, the government does block a number of Google services in China, which puts the regime at a handicap during disasters.

This is an excellent example of crowdsourced crisis mapping. My one recommen-dation to Chinese volunteers would be to crowdsource solutions in addition to problems. In other words, map offers of help and turn the crisis map into a local self-help map, i.e., a Match.com for citizen-based humanitarian response. In short, use the map as a platform for self-organization and crowdsource response by matching calls for help with corresponding offers of help. I would also recommend they create their own Standby Volunteer Task Force (SBTF) for crisis mapping to build social capital and repeat these efforts in future disasters.

Several days after Chinese volunteers first launched their crisis map, the Beijing Water Authority released its own map, which looks like a classic example of James Scott’s “Seeing Like a State.” The map is difficult to read and it is unclear whether the map is even a dynamic or interactive, or live for that matter. It appears static and cryptic. One wonders whether these adjectives also describe the government’s response.

Meanwhile, there is growing anger over the state’s botched response to the floods. According to People’s Daily, “Chinese netizens have criticised the munici-pal authority for failing to update the city’s run-down drainage system or to pre-warn residents about the impending disaster.” In other cities, Guangdong Mobile (the local division of China Mobile) sent out 30 million SMS about the storm in cooperation with the provincial government. “Mobile users in Shenzhen, Zhongshan, Zhuhai, Jiangmen, and Yunfu received reminders to be careful from the telecom company because those five cities were forecast to be most affected by the storm.”

All disasters are political. They test the government’s capacity. The latter’s inability to respond swiftly and effectively has repercussions on citizens’ perception of governance and statehood. The more digital volunteers engage in crisis mapping, the more they highlight the local capacity and agency of ordinary citizens to create shared awareness and help themselves—with or without the state. In doing so, volunteers build social capital, which facilitates future collective action both on and offline. If government officials are not worried about their own failures in disaster management, they should be. This failure will continue to have political consequences, in China and elsewhere.

On Rumors, Repression and Digital Disruption in China: Opening Pandora’s Inbox of Truthiness?

The Economist recently published a brilliant piece on China entitled: “The Power of Microblogs: Zombie Followers and Fake Re-Tweets.” BBC News followed with an equally excellent article: “Damaging Coup Rumors Ricochet Across China.” Combined, these articles reveal just how profound the digital disruption in China is likely to be now that Pandora’s Inbox has been opened.

Credit: The Economist

The Economist article opens with an insightful historical comparison:

“In the year 15AD, during the short-lived Xin dynasty, a rumor spread that a yellow dragon, a symbol of the emperor, had inauspiciously crashed into a temple in the mountains of central China and died. Ten thousand people rushed to the site. The emperor Wang Mang, aggrieved by such seditious gossip, ordered arrests and interrogations to quash the rumor, but never found the source. He was dethroned and killed eight years later, and Han-dynasty rule was restored.”

“The next ruler, Emperor Guangwu, took a different approach, studying rumors as a barometer of public sentiment, according to a recent book Rumors in the Han Dynasty by Lu Zongli, a historian. Guangwu’s government compiled a ‘Rumors Report’, cataloguing people’s complaints about local officials, and making assessments that were passed to the emperor. The early Eastern Han dynasty became known for officials who were less corrupt and more attuned to the people.”

In present day China, a popular pastime among 250+ million Chinese users of microblogging platforms is to “spread news and rumors, both true and false, that challenge the official script of government officials and state-propaganda organs.” In Domination and the Arts of Resistance: Hidden Transcripts, James Scott distinguishes between public and hidden transcripts. The former describes the open, public discourse that take place between dominators and oppressed while hidden transcripts relate to the critique of power that “goes on offstage”, which the power elites cannot decode. Scott writes that when the oppressed classes publicize this “hidden transcript”, (the truthiness?) they become con-scious of its common status. Borrowing from Juergen Habermas (as interpreted by Clay Shirky), those who take on the tools of open expression become a public, and a synchronized public increasingly constrains undemocratic rulers while ex-panding the rights of that public. The result in China? “It is hard to overestimate how much the arrival of [microblogging platforms] has changed the dynamic between rulers and ruled over the past two years” (The Economist).

Chinese authorities have responded to this threat in two predictable ways, one repeating the ill-fated actions of the Xin Dynasty and the other reflecting the more open spirit of Emperor Guangwu. In the latter case, authorities are turning to microblogs as a “listening post” for public opinion and also as a publishing platform. Indeed, “government agencies, party organs and individual officials have set up more than 50,000 weibo accounts [Chinese equivalent of Twitter]” (The Economist). In the former case, the regime has sought to “combat rumors harshly and to tighten controls over the microblogs and their users, censoring posts and closely monitoring troublemakers.” The UK Guardian reports that China is now “taking the toughest steps yet against major microblogs and detain-ing six people for spreading rumors of a coup amid Beijing’s most serious political crisis for years.”

Beijing’s attempt to regulate microblogging companies by requiring users to sign up with their real names is unlikely to be decisive, however. “No matter how it is enforced, user verification seems unlikely to deter the spread of rumors and information that has so concerned authorities” (The Economist). To be sure, companies are already selling fake verification services for a small fee. Besides, verifying accounts for millions of users is simply too time-consuming and hence costly. Even Twitter gave up their verified account service a while back. The task of countering rumors is even more of a Quixotic dream.

Property tycoon Zhang Xin, who has more than 3 million followers, wrote: “What is the best way to stop ‘rumors’? It is transparency and openness. The more speech is discouraged, the more rumors there will be” (UK Guardian).

This may in part explains why Chinese authorities have shifted their approach to one of engagement as evidenced by those 50,000 new weibo accounts. With this second reaction, however, Beijing is possibly passing the point of no return. “This degree of online engagement can be awkward for authorities used to a comfortable buffer from public opinion,” writes The Economist. This is an understatement; Pandora’s (In)box is now open and the “hidden transcript” is cloaked no longer. The critique of power is decoded and elites are “forced” to devise a public reply as a result of this shared awareness lest they lose legitimacy vis-a-vis the broader population. But the regime doesn’t even have a “customer service” mechanism in place to deal with distributed and potentially high-volume complaints. Censorship is easy compared to engagement.

Recall the “Rumors Report” compiled by Emperor Guangwu’s government to catalogue people’s complaints about local officials. How will these 50,000 new weibo users deal with such complaints now that the report can be crowdsourced, especially given that fact that China’s “Internet users have become increasingly bold in their willingness to discuss current affairs and even sensitive political news […]” (UK Guardian).

As I have argued in my dissertation, repressive regimes can react to real (or perceived)  threats posed by “liberation technologies” by either cracking down and further centralizing control and/or by taking on the same strategies as digital activists, which at times requires less centralization. Either way, they’re taking the first step on a slippery slope. By acknowledging the problem of rumors so publicly, the regime is actually calling more attention to how disruptive these simple speculations can be—the classic Streisand effect.

“By falsely packaging lies and speculation as ‘truth’ and ‘existence’, online rumours undermine the morale of the public, and, if out of control, they will seriously disturb the public order and affect social stability,” said a commentary in the People’s Daily, the official Communist party newspaper. (UK Guardian).

Practically speaking, how will those 50,000 new weibo users coordinate their efforts to counter rumors and spread state propaganda? “We have a saying among us: you only need to move your lips to start a rumor, but you need to run until your legs are broken to refute one,” says an employee of a state media outlet (The Economist). How will these new weibo users synchronize collective action in near real-time to counter rumors when any delay is likely to be interpreted as evidence of further guilt? Will they know how to respond to myriads of questions being bombarded at them in real-time by hundreds of thousands of Chinese microbloggers? This may lead to high-pressure situations that are rife for mistakes and errors, particularly if these government officials are new to microblogging. Indeed, If just one of these state-microbloggers slips, that slip could go viral with a retweet tsunami. Any retreat by authorities from this distributed engagement strategy will only lead to more rumors.

The rumors of the coup d’état continue to ricochet across China, gaining remarkable traction far and wide. Chinese microblogs were also alight last week with talk of corruption and power struggles within the highest ranks of the party, which may have fueled the rumor of an overthrow. This is damaging to China’s Communist Party which “likes to portray itself as unified and in control,” particularly as it prepares for it’s once-in-a-decade leadership shuffle. “The problem for China’s Communist Party is that it has no effective way of refuting such talk. There are no official spokesmen who will go on the record, no sources briefing the media on the background. Did it happen? Nobody knows. So the rumors swirl” (BBC News). Even the official media, which is “often found waiting for political guidance, can be slow and unresponsive.”

So if Chinese authorities and state media aren’t even equipped (beyond plain old censorship) to respond to national rumors of vis-a-vis an event as important as a coup (can it possibly get more important than that?), then how in the world will they deal with the undercurrent of rumors that continue to fill Chinese microblogs now that these can have 50,000 new targets online? Moreover, “many in China are now so cynical about the level of censorship that they will not believe what comes from the party’s mouthpieces even if it is true. Instead they will give credence to half-truths or fabrications on the web,” which is “corrosive for the party’s authority” (BBC News). This is a serious problem for China’s Communist elite who are obsessed with the task of projecting an image of total unity and stability.

In contrast, speculators on Chinese microblogging platforms don’t need a highly coordinated strategy to spread conspiracies. They are not handicapped by the centralization and collective action problem that Chinese authorities face; after all, it is clearly far easier to spread a rumor than to debunk one. As noted by The Economist, those spreading rumors have “at their disposal armies of zombie followers and fake re-tweets as well as marketing companies, which help draw attention to rumors until they are spread by a respected user with many real followers, such as a celebrity.” But there’s more at stake here than mere rumors. In fact, as noted by The Economist, the core of the problem has less to do with hunting down rumors of yellow dragons than with “the truth that they reflect: a nervous public. In the age of weibo, it may be that the wisps of truth prove more problematic for authorities than the clouds of falsehood.”

Fascinating epilogues:

China’s censorship can never defeat the internet
China’s censors tested by microbloggers who keep one step ahead of state media

Digital Media & Repressive Regimes: Media Tactics

The second panel focused on the media tactics of regimes and opponents. Xiao Qiang gave the first presentation which addressed Chinese digital media controls and access to public expresssion. Rebecca MacKinnon presented the findings of her research on China’s censorship 2.0: how companies censor bloggers. The third talk, by Mahmood Enayat, focused on resistance 2.0: power and counter-power in Persian websphere.

img_0922

“In china,” says Xiao, the digital battle “is about controlling information space, both via censorship and propaganda.” The Internet is not just a medium, it’s a social space where netizens organize into communities, share, etc. The Chinese government seeks to control the “main melody” via censorship and disinformation. So Chinese cyberspace is a control space.

How do some Chinese seek to circumvent this control? A number of official Chinese journalists actually lead double-lives; working for the state-controlled media during the day, and blogging or participating in BBS forums at night. Political satire (“eGao”) is also used in response to Chinese media control. There is also an important gap in control between local and central authorities in terms of implementing censorship rules; there is also a timing factor that contributes to the control gap.

img_0929

Rebecca MacKinnon is a leading China expert, having been posted with CNN in Beijing for 9 years and now teaches in Hong King. “There are different kinds of Internet censorship,” says Rebecca, reminding us as well that the Great Firewall of China which filters websites outside China was coind by bloggers. In addition to filtering, Chinese authorities are known to delete websites, shut down domestic sites as well as data centers. Multinational Companies are complicit in Chinese internet censorship.

Rebecca and her team decided to test just how censored China’s different blogging websites really are. Using paragraphs with sensitive political language, they manually tested 15 blog hosting websites to test what content  were being filterred. The team used 108 different types of content and found huge variation in blogging platforms censoring, from one site filtering 56% content to another filtering only 0.9%; of the same content. There is also evidence that the filtering is not always automatic and indeed includes manual intervention.

In one interesting example, Rebbecca mentions a blog post by a former high-level Chinese political adviser. The post, entitled: “Letter to my Son: wishing for multiparty democracy in China.” The blog was highly political but did not use inflammatory language and therefore was not filtered. Out of curiousity, Rebecca copied and pasted articles from the main state-owned media, Xinhua, and found that some of the state’s own articles would get censored!

So why do we see so much variation in Internet filtering within China?

  • Instructions to companies from city or provincial state council inforation office internet section, interpreted diffently;
  • Different methods desvised for implementation;
  • Relationship between company management, investors and regulatory bodies;
  • Manager/editor’s relationship with local state council;

In conclusion, the Great Chinese Firewall is only part of Chinese Internet censorship. Domestic censorship is not centralized. Domestic web censorship is outsourced by government to the private sector. Censorship is inconsistent and it is usually possible to post your content on one platform, for at least a while.

What are the implications of this study? We need larger scale studies of domestic web censorship (including chat rooms, social networking sites, instant-messaging, mobile services, etc.). Unlike automated filtering tests, these tests require manual testing and constant analysis by Chinese speakers with contextual knowledge. We need surveys of web service company employees; also of users and bloggers about their experience.

Implication for activism: circumvention is important but its not the solution to the whole censorship problem. We need to educate bloggers and netizens about strategies to deal with censorship.

img_0932

Mahmood Enayat from the Oxford Internet Institute gave an entertaining presentation on the use of digital media in Iran. (NB: my notes for this section self-deleted, don’t ask). In any case, Mahmood’s presentation was engaging. He discussed the role of underground music one the one hand and the use of YouTube. My apologies to Enayat for this being so short.

Patrick Philippe Meier